Does Homework Really Help Students Learn?

A conversation with a Wheelock researcher, a BU student, and a fourth-grade teacher

child doing homework

“Quality homework is engaging and relevant to kids’ lives,” says Wheelock’s Janine Bempechat. “It gives them autonomy and engages them in the community and with their families. In some subjects, like math, worksheets can be very helpful. It has to do with the value of practicing over and over.” Photo by iStock/Glenn Cook Photography

Do your homework.

If only it were that simple.

Educators have debated the merits of homework since the late 19th century. In recent years, amid concerns of some parents and teachers that children are being stressed out by too much homework, things have only gotten more fraught.

“Homework is complicated,” says developmental psychologist Janine Bempechat, a Wheelock College of Education & Human Development clinical professor. The author of the essay “ The Case for (Quality) Homework—Why It Improves Learning and How Parents Can Help ” in the winter 2019 issue of Education Next , Bempechat has studied how the debate about homework is influencing teacher preparation, parent and student beliefs about learning, and school policies.

She worries especially about socioeconomically disadvantaged students from low-performing schools who, according to research by Bempechat and others, get little or no homework.

BU Today  sat down with Bempechat and Erin Bruce (Wheelock’17,’18), a new fourth-grade teacher at a suburban Boston school, and future teacher freshman Emma Ardizzone (Wheelock) to talk about what quality homework looks like, how it can help children learn, and how schools can equip teachers to design it, evaluate it, and facilitate parents’ role in it.

BU Today: Parents and educators who are against homework in elementary school say there is no research definitively linking it to academic performance for kids in the early grades. You’ve said that they’re missing the point.

Bempechat : I think teachers assign homework in elementary school as a way to help kids develop skills they’ll need when they’re older—to begin to instill a sense of responsibility and to learn planning and organizational skills. That’s what I think is the greatest value of homework—in cultivating beliefs about learning and skills associated with academic success. If we greatly reduce or eliminate homework in elementary school, we deprive kids and parents of opportunities to instill these important learning habits and skills.

We do know that beginning in late middle school, and continuing through high school, there is a strong and positive correlation between homework completion and academic success.

That’s what I think is the greatest value of homework—in cultivating beliefs about learning and skills associated with academic success.

You talk about the importance of quality homework. What is that?

Quality homework is engaging and relevant to kids’ lives. It gives them autonomy and engages them in the community and with their families. In some subjects, like math, worksheets can be very helpful. It has to do with the value of practicing over and over.

Janine Bempechat

What are your concerns about homework and low-income children?

The argument that some people make—that homework “punishes the poor” because lower-income parents may not be as well-equipped as affluent parents to help their children with homework—is very troubling to me. There are no parents who don’t care about their children’s learning. Parents don’t actually have to help with homework completion in order for kids to do well. They can help in other ways—by helping children organize a study space, providing snacks, being there as a support, helping children work in groups with siblings or friends.

Isn’t the discussion about getting rid of homework happening mostly in affluent communities?

Yes, and the stories we hear of kids being stressed out from too much homework—four or five hours of homework a night—are real. That’s problematic for physical and mental health and overall well-being. But the research shows that higher-income students get a lot more homework than lower-income kids.

Teachers may not have as high expectations for lower-income children. Schools should bear responsibility for providing supports for kids to be able to get their homework done—after-school clubs, community support, peer group support. It does kids a disservice when our expectations are lower for them.

The conversation around homework is to some extent a social class and social justice issue. If we eliminate homework for all children because affluent children have too much, we’re really doing a disservice to low-income children. They need the challenge, and every student can rise to the challenge with enough supports in place.

What did you learn by studying how education schools are preparing future teachers to handle homework?

My colleague, Margarita Jimenez-Silva, at the University of California, Davis, School of Education, and I interviewed faculty members at education schools, as well as supervising teachers, to find out how students are being prepared. And it seemed that they weren’t. There didn’t seem to be any readings on the research, or conversations on what high-quality homework is and how to design it.

Erin, what kind of training did you get in handling homework?

Bruce : I had phenomenal professors at Wheelock, but homework just didn’t come up. I did lots of student teaching. I’ve been in classrooms where the teachers didn’t assign any homework, and I’ve been in rooms where they assigned hours of homework a night. But I never even considered homework as something that was my decision. I just thought it was something I’d pull out of a book and it’d be done.

I started giving homework on the first night of school this year. My first assignment was to go home and draw a picture of the room where you do your homework. I want to know if it’s at a table and if there are chairs around it and if mom’s cooking dinner while you’re doing homework.

The second night I asked them to talk to a grown-up about how are you going to be able to get your homework done during the week. The kids really enjoyed it. There’s a running joke that I’m teaching life skills.

Friday nights, I read all my kids’ responses to me on their homework from the week and it’s wonderful. They pour their hearts out. It’s like we’re having a conversation on my couch Friday night.

It matters to know that the teacher cares about you and that what you think matters to the teacher. Homework is a vehicle to connect home and school…for parents to know teachers are welcoming to them and their families.

Bempechat : I can’t imagine that most new teachers would have the intuition Erin had in designing homework the way she did.

Ardizzone : Conversations with kids about homework, feeling you’re being listened to—that’s such a big part of wanting to do homework….I grew up in Westchester County. It was a pretty demanding school district. My junior year English teacher—I loved her—she would give us feedback, have meetings with all of us. She’d say, “If you have any questions, if you have anything you want to talk about, you can talk to me, here are my office hours.” It felt like she actually cared.

Bempechat : It matters to know that the teacher cares about you and that what you think matters to the teacher. Homework is a vehicle to connect home and school…for parents to know teachers are welcoming to them and their families.

Ardizzone : But can’t it lead to parents being overbearing and too involved in their children’s lives as students?

Bempechat : There’s good help and there’s bad help. The bad help is what you’re describing—when parents hover inappropriately, when they micromanage, when they see their children confused and struggling and tell them what to do.

Good help is when parents recognize there’s a struggle going on and instead ask informative questions: “Where do you think you went wrong?” They give hints, or pointers, rather than saying, “You missed this,” or “You didn’t read that.”

Bruce : I hope something comes of this. I hope BU or Wheelock can think of some way to make this a more pressing issue. As a first-year teacher, it was not something I even thought about on the first day of school—until a kid raised his hand and said, “Do we have homework?” It would have been wonderful if I’d had a plan from day one.

Explore Related Topics:

  • Share this story

Senior Contributing Editor

Sara Rimer

Sara Rimer A journalist for more than three decades, Sara Rimer worked at the Miami Herald , Washington Post and, for 26 years, the New York Times , where she was the New England bureau chief, and a national reporter covering education, aging, immigration, and other social justice issues. Her stories on the death penalty’s inequities were nominated for a Pulitzer Prize and cited in the U.S. Supreme Court’s decision outlawing the execution of people with intellectual disabilities. Her journalism honors include Columbia University’s Meyer Berger award for in-depth human interest reporting. She holds a BA degree in American Studies from the University of Michigan. Profile

She can be reached at [email protected] .

Comments & Discussion

Boston University moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. Moderators are staffed during regular business hours (EST) and can only accept comments written in English. Statistics or facts must include a citation or a link to the citation.

There are 81 comments on Does Homework Really Help Students Learn?

Insightful! The values about homework in elementary schools are well aligned with my intuition as a parent.

when i finish my work i do my homework and i sometimes forget what to do because i did not get enough sleep

same omg it does not help me it is stressful and if I have it in more than one class I hate it.

Same I think my parent wants to help me but, she doesn’t care if I get bad grades so I just try my best and my grades are great.

I think that last question about Good help from parents is not know to all parents, we do as our parents did or how we best think it can be done, so maybe coaching parents or giving them resources on how to help with homework would be very beneficial for the parent on how to help and for the teacher to have consistency and improve homework results, and of course for the child. I do see how homework helps reaffirm the knowledge obtained in the classroom, I also have the ability to see progress and it is a time I share with my kids

The answer to the headline question is a no-brainer – a more pressing problem is why there is a difference in how students from different cultures succeed. Perfect example is the student population at BU – why is there a majority population of Asian students and only about 3% black students at BU? In fact at some universities there are law suits by Asians to stop discrimination and quotas against admitting Asian students because the real truth is that as a group they are demonstrating better qualifications for admittance, while at the same time there are quotas and reduced requirements for black students to boost their portion of the student population because as a group they do more poorly in meeting admissions standards – and it is not about the Benjamins. The real problem is that in our PC society no one has the gazuntas to explore this issue as it may reveal that all people are not created equal after all. Or is it just environmental cultural differences??????

I get you have a concern about the issue but that is not even what the point of this article is about. If you have an issue please take this to the site we have and only post your opinion about the actual topic

This is not at all what the article is talking about.

This literally has nothing to do with the article brought up. You should really take your opinions somewhere else before you speak about something that doesn’t make sense.

we have the same name

so they have the same name what of it?

lol you tell her

totally agree

What does that have to do with homework, that is not what the article talks about AT ALL.

Yes, I think homework plays an important role in the development of student life. Through homework, students have to face challenges on a daily basis and they try to solve them quickly.I am an intense online tutor at 24x7homeworkhelp and I give homework to my students at that level in which they handle it easily.

More than two-thirds of students said they used alcohol and drugs, primarily marijuana, to cope with stress.

You know what’s funny? I got this assignment to write an argument for homework about homework and this article was really helpful and understandable, and I also agree with this article’s point of view.

I also got the same task as you! I was looking for some good resources and I found this! I really found this article useful and easy to understand, just like you! ^^

i think that homework is the best thing that a child can have on the school because it help them with their thinking and memory.

I am a child myself and i think homework is a terrific pass time because i can’t play video games during the week. It also helps me set goals.

Homework is not harmful ,but it will if there is too much

I feel like, from a minors point of view that we shouldn’t get homework. Not only is the homework stressful, but it takes us away from relaxing and being social. For example, me and my friends was supposed to hang at the mall last week but we had to postpone it since we all had some sort of work to do. Our minds shouldn’t be focused on finishing an assignment that in realty, doesn’t matter. I completely understand that we should have homework. I have to write a paper on the unimportance of homework so thanks.

homework isn’t that bad

Are you a student? if not then i don’t really think you know how much and how severe todays homework really is

i am a student and i do not enjoy homework because i practice my sport 4 out of the five days we have school for 4 hours and that’s not even counting the commute time or the fact i still have to shower and eat dinner when i get home. its draining!

i totally agree with you. these people are such boomers

why just why

they do make a really good point, i think that there should be a limit though. hours and hours of homework can be really stressful, and the extra work isn’t making a difference to our learning, but i do believe homework should be optional and extra credit. that would make it for students to not have the leaning stress of a assignment and if you have a low grade you you can catch up.

Studies show that homework improves student achievement in terms of improved grades, test results, and the likelihood to attend college. Research published in the High School Journal indicates that students who spent between 31 and 90 minutes each day on homework “scored about 40 points higher on the SAT-Mathematics subtest than their peers, who reported spending no time on homework each day, on average.” On both standardized tests and grades, students in classes that were assigned homework outperformed 69% of students who didn’t have homework. A majority of studies on homework’s impact – 64% in one meta-study and 72% in another – showed that take home assignments were effective at improving academic achievement. Research by the Institute for the Study of Labor (IZA) concluded that increased homework led to better GPAs and higher probability of college attendance for high school boys. In fact, boys who attended college did more than three hours of additional homework per week in high school.

So how are your measuring student achievement? That’s the real question. The argument that doing homework is simply a tool for teaching responsibility isn’t enough for me. We can teach responsibility in a number of ways. Also the poor argument that parents don’t need to help with homework, and that students can do it on their own, is wishful thinking at best. It completely ignores neurodiverse students. Students in poverty aren’t magically going to find a space to do homework, a friend’s or siblings to help them do it, and snacks to eat. I feel like the author of this piece has never set foot in a classroom of students.

THIS. This article is pathetic coming from a university. So intellectually dishonest, refusing to address the havoc of capitalism and poverty plays on academic success in life. How can they in one sentence use poor kids in an argument and never once address that poor children have access to damn near 0 of the resources affluent kids have? Draw me a picture and let’s talk about feelings lmao what a joke is that gonna put food in their belly so they can have the calories to burn in order to use their brain to study? What about quiet their 7 other siblings that they share a single bedroom with for hours? Is it gonna force the single mom to magically be at home and at work at the same time to cook food while you study and be there to throw an encouraging word?

Also the “parents don’t need to be a parent and be able to guide their kid at all academically they just need to exist in the next room” is wild. Its one thing if a parent straight up is not equipped but to say kids can just figured it out is…. wow coming from an educator What’s next the teacher doesn’t need to teach cause the kid can just follow the packet and figure it out?

Well then get a tutor right? Oh wait you are poor only affluent kids can afford a tutor for their hours of homework a day were they on average have none of the worries a poor child does. Does this address that poor children are more likely to also suffer abuse and mental illness? Like mentioned what about kids that can’t learn or comprehend the forced standardized way? Just let em fail? These children regularly are not in “special education”(some of those are a joke in their own and full of neglect and abuse) programs cause most aren’t even acknowledged as having disabilities or disorders.

But yes all and all those pesky poor kids just aren’t being worked hard enough lol pretty sure poor children’s existence just in childhood is more work, stress, and responsibility alone than an affluent child’s entire life cycle. Love they never once talked about the quality of education in the classroom being so bad between the poor and affluent it can qualify as segregation, just basically blamed poor people for being lazy, good job capitalism for failing us once again!

why the hell?

you should feel bad for saying this, this article can be helpful for people who has to write a essay about it

This is more of a political rant than it is about homework

I know a teacher who has told his students their homework is to find something they are interested in, pursue it and then come share what they learn. The student responses are quite compelling. One girl taught herself German so she could talk to her grandfather. One boy did a research project on Nelson Mandela because the teacher had mentioned him in class. Another boy, a both on the autism spectrum, fixed his family’s computer. The list goes on. This is fourth grade. I think students are highly motivated to learn, when we step aside and encourage them.

The whole point of homework is to give the students a chance to use the material that they have been presented with in class. If they never have the opportunity to use that information, and discover that it is actually useful, it will be in one ear and out the other. As a science teacher, it is critical that the students are challenged to use the material they have been presented with, which gives them the opportunity to actually think about it rather than regurgitate “facts”. Well designed homework forces the student to think conceptually, as opposed to regurgitation, which is never a pretty sight

Wonderful discussion. and yes, homework helps in learning and building skills in students.

not true it just causes kids to stress

Homework can be both beneficial and unuseful, if you will. There are students who are gifted in all subjects in school and ones with disabilities. Why should the students who are gifted get the lucky break, whereas the people who have disabilities suffer? The people who were born with this “gift” go through school with ease whereas people with disabilities struggle with the work given to them. I speak from experience because I am one of those students: the ones with disabilities. Homework doesn’t benefit “us”, it only tears us down and put us in an abyss of confusion and stress and hopelessness because we can’t learn as fast as others. Or we can’t handle the amount of work given whereas the gifted students go through it with ease. It just brings us down and makes us feel lost; because no mater what, it feels like we are destined to fail. It feels like we weren’t “cut out” for success.

homework does help

here is the thing though, if a child is shoved in the face with a whole ton of homework that isn’t really even considered homework it is assignments, it’s not helpful. the teacher should make homework more of a fun learning experience rather than something that is dreaded

This article was wonderful, I am going to ask my teachers about extra, or at all giving homework.

I agree. Especially when you have homework before an exam. Which is distasteful as you’ll need that time to study. It doesn’t make any sense, nor does us doing homework really matters as It’s just facts thrown at us.

Homework is too severe and is just too much for students, schools need to decrease the amount of homework. When teachers assign homework they forget that the students have other classes that give them the same amount of homework each day. Students need to work on social skills and life skills.

I disagree.

Beyond achievement, proponents of homework argue that it can have many other beneficial effects. They claim it can help students develop good study habits so they are ready to grow as their cognitive capacities mature. It can help students recognize that learning can occur at home as well as at school. Homework can foster independent learning and responsible character traits. And it can give parents an opportunity to see what’s going on at school and let them express positive attitudes toward achievement.

Homework is helpful because homework helps us by teaching us how to learn a specific topic.

As a student myself, I can say that I have almost never gotten the full 9 hours of recommended sleep time, because of homework. (Now I’m writing an essay on it in the middle of the night D=)

I am a 10 year old kid doing a report about “Is homework good or bad” for homework before i was going to do homework is bad but the sources from this site changed my mind!

Homeowkr is god for stusenrs

I agree with hunter because homework can be so stressful especially with this whole covid thing no one has time for homework and every one just wants to get back to there normal lives it is especially stressful when you go on a 2 week vaca 3 weeks into the new school year and and then less then a week after you come back from the vaca you are out for over a month because of covid and you have no way to get the assignment done and turned in

As great as homework is said to be in the is article, I feel like the viewpoint of the students was left out. Every where I go on the internet researching about this topic it almost always has interviews from teachers, professors, and the like. However isn’t that a little biased? Of course teachers are going to be for homework, they’re not the ones that have to stay up past midnight completing the homework from not just one class, but all of them. I just feel like this site is one-sided and you should include what the students of today think of spending four hours every night completing 6-8 classes worth of work.

Are we talking about homework or practice? Those are two very different things and can result in different outcomes.

Homework is a graded assignment. I do not know of research showing the benefits of graded assignments going home.

Practice; however, can be extremely beneficial, especially if there is some sort of feedback (not a grade but feedback). That feedback can come from the teacher, another student or even an automated grading program.

As a former band director, I assigned daily practice. I never once thought it would be appropriate for me to require the students to turn in a recording of their practice for me to grade. Instead, I had in-class assignments/assessments that were graded and directly related to the practice assigned.

I would really like to read articles on “homework” that truly distinguish between the two.

oof i feel bad good luck!

thank you guys for the artical because I have to finish an assingment. yes i did cite it but just thanks

thx for the article guys.

Homework is good

I think homework is helpful AND harmful. Sometimes u can’t get sleep bc of homework but it helps u practice for school too so idk.

I agree with this Article. And does anyone know when this was published. I would like to know.

It was published FEb 19, 2019.

Studies have shown that homework improved student achievement in terms of improved grades, test results, and the likelihood to attend college.

i think homework can help kids but at the same time not help kids

This article is so out of touch with majority of homes it would be laughable if it wasn’t so incredibly sad.

There is no value to homework all it does is add stress to already stressed homes. Parents or adults magically having the time or energy to shepherd kids through homework is dome sort of 1950’s fantasy.

What lala land do these teachers live in?

Homework gives noting to the kid

Homework is Bad

homework is bad.

why do kids even have homework?

Comments are closed.

Latest from Bostonia

Could boston be the next city to impose congestion pricing, alum has traveled the world to witness total solar eclipses, opening doors: rhonda harrison (eng’98,’04, grs’04), campus reacts and responds to israel-hamas war, reading list: what the pandemic revealed, remembering com’s david anable, cas’ john stone, “intellectual brilliance and brilliant kindness”, one good deed: christine kannler (cas’96, sph’00, camed’00), william fairfield warren society inducts new members, spreading art appreciation, restoring the “black angels” to medical history, in the kitchen with jacques pépin, feedback: readers weigh in on bu’s new president, com’s new expert on misinformation, and what’s really dividing the nation, the gifts of great teaching, sth’s walter fluker honored by roosevelt institute, alum’s debut book is a ramadan story for children, my big idea: covering construction sites with art, former terriers power new professional women’s hockey league, five trailblazing alums to celebrate during women’s history month, alum beata coloyan is boston mayor michelle wu’s “eyes and ears” in boston neighborhoods.

  • About the Hub
  • Announcements
  • Faculty Experts Guide
  • Subscribe to the newsletter

Explore by Topic

  • Arts+Culture
  • Politics+Society
  • Science+Technology
  • Student Life
  • University News
  • Voices+Opinion
  • About Hub at Work
  • Gazette Archive
  • Benefits+Perks
  • Health+Well-Being
  • Current Issue
  • About the Magazine
  • Past Issues
  • Support Johns Hopkins Magazine
  • Subscribe to the Magazine

You are using an outdated browser. Please upgrade your browser to improve your experience.

A daughter sits at a desk doing homework while her mom stands beside her helping

Credit: August de Richelieu

Does homework still have value? A Johns Hopkins education expert weighs in

Joyce epstein, co-director of the center on school, family, and community partnerships, discusses why homework is essential, how to maximize its benefit to learners, and what the 'no-homework' approach gets wrong.

By Vicky Hallett

The necessity of homework has been a subject of debate since at least as far back as the 1890s, according to Joyce L. Epstein , co-director of the Center on School, Family, and Community Partnerships at Johns Hopkins University. "It's always been the case that parents, kids—and sometimes teachers, too—wonder if this is just busy work," Epstein says.

But after decades of researching how to improve schools, the professor in the Johns Hopkins School of Education remains certain that homework is essential—as long as the teachers have done their homework, too. The National Network of Partnership Schools , which she founded in 1995 to advise schools and districts on ways to improve comprehensive programs of family engagement, has developed hundreds of improved homework ideas through its Teachers Involve Parents in Schoolwork program. For an English class, a student might interview a parent on popular hairstyles from their youth and write about the differences between then and now. Or for science class, a family could identify forms of matter over the dinner table, labeling foods as liquids or solids. These innovative and interactive assignments not only reinforce concepts from the classroom but also foster creativity, spark discussions, and boost student motivation.

"We're not trying to eliminate homework procedures, but expand and enrich them," says Epstein, who is packing this research into a forthcoming book on the purposes and designs of homework. In the meantime, the Hub couldn't wait to ask her some questions:

What kind of homework training do teachers typically get?

Future teachers and administrators really have little formal training on how to design homework before they assign it. This means that most just repeat what their teachers did, or they follow textbook suggestions at the end of units. For example, future teachers are well prepared to teach reading and literacy skills at each grade level, and they continue to learn to improve their teaching of reading in ongoing in-service education. By contrast, most receive little or no training on the purposes and designs of homework in reading or other subjects. It is really important for future teachers to receive systematic training to understand that they have the power, opportunity, and obligation to design homework with a purpose.

Why do students need more interactive homework?

If homework assignments are always the same—10 math problems, six sentences with spelling words—homework can get boring and some kids just stop doing their assignments, especially in the middle and high school years. When we've asked teachers what's the best homework you've ever had or designed, invariably we hear examples of talking with a parent or grandparent or peer to share ideas. To be clear, parents should never be asked to "teach" seventh grade science or any other subject. Rather, teachers set up the homework assignments so that the student is in charge. It's always the student's homework. But a good activity can engage parents in a fun, collaborative way. Our data show that with "good" assignments, more kids finish their work, more kids interact with a family partner, and more parents say, "I learned what's happening in the curriculum." It all works around what the youngsters are learning.

Is family engagement really that important?

At Hopkins, I am part of the Center for Social Organization of Schools , a research center that studies how to improve many aspects of education to help all students do their best in school. One thing my colleagues and I realized was that we needed to look deeply into family and community engagement. There were so few references to this topic when we started that we had to build the field of study. When children go to school, their families "attend" with them whether a teacher can "see" the parents or not. So, family engagement is ever-present in the life of a school.

My daughter's elementary school doesn't assign homework until third grade. What's your take on "no homework" policies?

There are some parents, writers, and commentators who have argued against homework, especially for very young children. They suggest that children should have time to play after school. This, of course is true, but many kindergarten kids are excited to have homework like their older siblings. If they give homework, most teachers of young children make assignments very short—often following an informal rule of 10 minutes per grade level. "No homework" does not guarantee that all students will spend their free time in productive and imaginative play.

Some researchers and critics have consistently misinterpreted research findings. They have argued that homework should be assigned only at the high school level where data point to a strong connection of doing assignments with higher student achievement . However, as we discussed, some students stop doing homework. This leads, statistically, to results showing that doing homework or spending more minutes on homework is linked to higher student achievement. If slow or struggling students are not doing their assignments, they contribute to—or cause—this "result."

Teachers need to design homework that even struggling students want to do because it is interesting. Just about all students at any age level react positively to good assignments and will tell you so.

Did COVID change how schools and parents view homework?

Within 24 hours of the day school doors closed in March 2020, just about every school and district in the country figured out that teachers had to talk to and work with students' parents. This was not the same as homeschooling—teachers were still working hard to provide daily lessons. But if a child was learning at home in the living room, parents were more aware of what they were doing in school. One of the silver linings of COVID was that teachers reported that they gained a better understanding of their students' families. We collected wonderfully creative examples of activities from members of the National Network of Partnership Schools. I'm thinking of one art activity where every child talked with a parent about something that made their family unique. Then they drew their finding on a snowflake and returned it to share in class. In math, students talked with a parent about something the family liked so much that they could represent it 100 times. Conversations about schoolwork at home was the point.

How did you create so many homework activities via the Teachers Involve Parents in Schoolwork program?

We had several projects with educators to help them design interactive assignments, not just "do the next three examples on page 38." Teachers worked in teams to create TIPS activities, and then we turned their work into a standard TIPS format in math, reading/language arts, and science for grades K-8. Any teacher can use or adapt our prototypes to match their curricula.

Overall, we know that if future teachers and practicing educators were prepared to design homework assignments to meet specific purposes—including but not limited to interactive activities—more students would benefit from the important experience of doing their homework. And more parents would, indeed, be partners in education.

Posted in Voices+Opinion

You might also like

News network.

  • Johns Hopkins Magazine
  • Get Email Updates
  • Submit an Announcement
  • Submit an Event
  • Privacy Statement
  • Accessibility

Discover JHU

  • About the University
  • Schools & Divisions
  • Academic Programs
  • Plan a Visit
  • my.JohnsHopkins.edu
  • © 2024 Johns Hopkins University . All rights reserved.
  • University Communications
  • 3910 Keswick Rd., Suite N2600, Baltimore, MD
  • X Facebook LinkedIn YouTube Instagram

Duke Study: Homework Helps Students Succeed in School, As Long as There Isn't Too Much

The study, led by professor Harris Cooper, also shows that the positive correlation is much stronger for secondary students than elementary students

  • Share this story on facebook
  • Share this story on twitter
  • Share this story on reddit
  • Share this story on linkedin
  • Get this story's permalink
  • Print this story

It turns out that parents are right to nag: To succeed in school, kids should do their homework.

Duke University researchers have reviewed more than 60 research studies on homework between 1987 and 2003 and concluded that homework does have a positive effect on student achievement.

Harris Cooper, a professor of psychology, said the research synthesis that he led showed the positive correlation was much stronger for secondary students --- those in grades 7 through 12 --- than those in elementary school.

READ MORE: Harris Cooper offers tips for teaching children in the next school year in this USA Today op-ed published Monday.

"With only rare exception, the relationship between the amount of homework students do and their achievement outcomes was found to be positive and statistically significant," the researchers report in a paper that appears in the spring 2006 edition of "Review of Educational Research."

Cooper is the lead author; Jorgianne Civey Robinson, a Ph.D. student in psychology, and Erika Patall, a graduate student in psychology, are co-authors. The research was supported by a grant from the U.S. Department of Education.

While it's clear that homework is a critical part of the learning process, Cooper said the analysis also showed that too much homework can be counter-productive for students at all levels.

"Even for high school students, overloading them with homework is not associated with higher grades," Cooper said.

Cooper said the research is consistent with the "10-minute rule" suggesting the optimum amount of homework that teachers ought to assign. The "10-minute rule," Cooper said, is a commonly accepted practice in which teachers add 10 minutes of homework as students progress one grade. In other words, a fourth-grader would be assigned 40 minutes of homework a night, while a high school senior would be assigned about two hours. For upper high school students, after about two hours' worth, more homework was not associated with higher achievement.

The authors suggest a number of reasons why older students benefit more from homework than younger students. First, the authors note, younger children are less able than older children to tune out distractions in their environment. Younger children also have less effective study habits.

But the reason also could have to do with why elementary teachers assign homework. Perhaps it is used more often to help young students develop better time management and study skills, not to immediately affect their achievement in particular subject areas.

"Kids burn out," Cooper said. "The bottom line really is all kids should be doing homework, but the amount and type should vary according to their developmental level and home circumstances. Homework for young students should be short, lead to success without much struggle, occasionally involve parents and, when possible, use out-of-school activities that kids enjoy, such as their sports teams or high-interest reading."

Cooper pointed out that there are limitations to current research on homework. For instance, little research has been done to assess whether a student's race, socioeconomic status or ability level affects the importance of homework in his or her achievement.

This is Cooper's second synthesis of homework research. His first was published in 1989 and covered nearly 120 studies in the 20 years before 1987. Cooper's recent paper reconfirms many of the findings from the earlier study.

Cooper is the author of "The Battle over Homework: Common Ground for Administrators, Teachers, and Parents" (Corwin Press, 2001).

Link to this page

Copy and paste the URL below to share this page.

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Front Psychol

Academic Goals, Student Homework Engagement, and Academic Achievement in Elementary School

Antonio valle.

1 Department of Developmental and Educational Psychology, University of A Coruña, A Coruña, Spain

Bibiana Regueiro

José c. núñez.

2 Department of Psychology, University of Oviedo, Oviedo, Spain

Susana Rodríguez

Isabel piñeiro, pedro rosário.

3 Departmento de Psicologia Aplicada, Universidade do Minho, Braga, Portugal

There seems to be a general consensus in the literature that doing homework is beneficial for students. Thus, the current challenge is to examine the process of doing homework to find which variables may help students to complete the homework assigned. To address this goal, a path analysis model was fit. The model hypothesized that the way students engage in homework is explained by the type of academic goals set, and it explains the amount of time spend on homework, the homework time management, and the amount of homework done. Lastly, the amount of homework done is positively related to academic achievement. The model was fit using a sample of 535 Spanish students from the last three courses of elementary school (aged 9 to 13). Findings show that: (a) academic achievement was positively associated with the amount of homework completed, (b) the amount of homework completed was related to the homework time management, (c) homework time management was associated with the approach to homework, (d) and the approach to homework, like the rest of the variables of the model (except for the time spent on homework), was related to the student's academic motivation (i.e., academic goals).

Introduction

Literature indicates that doing homework regularly is positively associated with students' academic achievement (Zimmerman and Kitsantas, 2005 ). Hence, as expected, the amount of homework done is one of the variables that shows a strong and positive relationship with academic achievement (Cooper et al., 2001 ).

It seems consensual in the literature that doing homework is always beneficial to students, but it is also true that the key for the academic success does not rely on the amount of homework done, but rather on how students engage on homework (Trautwein et al., 2009 ; Núñez et al., 2015c ), and on how homework engagement is related with student motivation (Martin, 2012 ). There is, therefore, a call to analyze the process of homework rather than just the product; that is, to examine the extent to which the quality of the process of doing homework may be relevant to the final outcome.

Trautwein's model of homework

The model by Trautwein et al. ( 2006b ) is rooted in the motivational theories, namely the theory of the expectancy value (Eccles (Parsons) et al., 1983 ; Pintrich and De Groot, 1990 ), and the theory of self-determination (Deci et al., 2002 ), as well as on theories of learning and instruction (Boekaerts, 1999 ). Trautwein and colleagues' model analyzes students' related variables in two blocks, as follows: the motivational (aiming at directing and sustaining the behavior) and the cognitive and behavioral implications (cognitions and behaviors related to the moment of doing homework).These two blocks of variables are rooted in the literature. Motivational variables are related with the theory of expectancy-value by Eccles (Parsons) et al. ( 1983 ), while the variables addressing students' implication are related with the school engagement framework (e.g., Fredricks et al., 2004 ). However, as Eccles and Wang ( 2012 ) stress, both models are interrelated due to the fact that both variables are closely related and show reciprocal relationships.

Student homework engagement: the interplay between cognitive and behavioral components

Engagement is a relatively new construct with great relevance in the field of psychology and instruction (Fredricks et al., 2004 ). Generally considered, engagement has been described as the active implication of the person in an activity (Reeve et al., 2004 ). However, despite the close relation between engagement and motivation, literature clearly differentiates between them (e.g., Martin, 2012 ), stressing engagement as the behavioral manifestation of motivation (Skinner and Pitzer, 2012 ), or arguing that motivation is a precursor of engagement rather than part of it. In sum, motivation relates to the “why” whereas the engagement focuses on the “what” of a particular behavior.

Consistent with this perspective, the current research fitted a model with the variable engagement mediating the relationship between motivation and academic achievement (see Eccles and Wang, 2012 ). Engagement is a complex construct with observational and non-observational aspects (Appleton et al., 2008 ). Some researchers conceptualize engagement with two dimensions—behavior and emotions (e.g., Marks, 2000 )—while others define engagement with four dimensions—academic, behavioral, cognitive, and emotional (e.g., Appleton et al., 2006 ). In the current study, we followed Fredricks' et al. ( 2004 ) conceptualization of engagement as a construct with three dimensions: cognitive (e.g., approaches to learning), behavioral (e.g., student homework behaviors), and emotional (e.g., interest, boredom). For the purpose of the present study, the dimension of emotion was not included in the model (see Figure ​ Figure1 1 ).

An external file that holds a picture, illustration, etc.
Object name is fpsyg-07-00463-g0001.jpg

General model hypothesized to explain the relationship between academic motivation, student homework engagement, and academic achievement .

Cognitive homework engagement

In the past few decades, a robust body of research has been addressing the relationship between the way students deal with their learning process and academic outcomes (Marton and Säljö, 1976a , b ; Struyven et al., 2006 ; Rosário et al., 2010a , 2013a ). Marton and Säljö ( 1976a , b ) examined how students studied an academic text and found two ways of approaching the task: a surface and a deep approach. The surface approach is characterized by learning the contents aiming at achieving goals that are extrinsic to the learning content. In contrast, the deep approach is characterized by an intrinsic interest in the task and students are likely to be focused on understanding the learning content, relating it to prior knowledge and to the surrounding environment (Entwistle, 2009 ; Rosário et al., 2010b ). The metaphor “surface vs. deep” constitutes an easy to perceive conceptual framework, both in the classroom setting and in other educational settings (i.e., doing homework at home), and has been shown to be a powerful tool for parents, teachers, and students when conceptualizing the ways students approach school tasks (Entwistle, 1991 ; Rosário et al., 2005 ). The core of the concept of approaches to studying (or to learning) is the metacognitive connection between an intention to approach a task and a strategy to implement it (Rosário et al., 2013b ).

The process of doing homework focuses on what students do when completing homework, that is, how they approach their work and how they manage their personal resources and settings while doing homework. It is likely that students' approaches to homework may influence not only the final homework outcome but also the quality of that process. Students who adopt a deep approach are likely to engage their homework with the intention of deepening their understanding of the knowledge learned in class. In this process, students often relate the homework exercises to prior knowledge and monitor their mastery of the content learned. This process involves intrinsic intention to understand the ideas and the use of strategies to build meaning (Cano et al., 2014 ). In contrast, students who approach homework with a surface approach are likely to do homework with extrinsic motivation (e.g., rewards of their parents, fear of upsetting their teacher). Their goals may target finishing homework as soon as and with the less effort possible to be able to do more interesting activities. Students using this approach are more likely to do homework to fulfill an external obligation (e.g., hand in homework in class and get a grade), than for the benefits for learning.

Behavioral homework engagement

Findings from prior research indicate that the more the implication of students in doing their homework the better the academic achievement (Cooper et al., 2006 ). Following Trautwein et al. ( 2006b ), our conceptualization of student homework engagement includes behaviors related with the amount of homework done, time spent on homework, and homework time management (e.g., concentration). In the present investigation, these three variables were included in the model (see Figure ​ Figure1 1 ).

Extant findings on the relationship between the amount of homework done and academic achievement are in need of further clarification. Some authors argue for a strong and positive relationship (e.g., Cooper et al., 2006 ), while others found that this relationship is higher throughout schooling (Cooper et al., 2001 ; Zimmerman and Kitsantas, 2005 ). Authors explained this last finding arguing that the load of homework assigned by teachers vary throughout schooling, and also that the cognitive competencies of students are likely to vary with age (Muhlenbruck et al., 2000 ). More recently, Núñez et al. ( 2015c ) found that the relationship between these two variables varied as a function of the age of the students enrolled. Particularly, this relationship was found to be negative in elementary school, null in junior high school, and positive in high school.

Moreover, the relationship between the amount of homework done and academic achievement relates, among other factors, with the students' age, the quality of the homework assigned, the type of assessment, and the nature of the feedback provided. For example, some students may always complete their homework and get good grades for doing it, which does not mean that these students learn more (Kohn, 2006 ). In fact, more important than the quantity of the homework done, is the quality of that work (Fernández-Alonso et al., 2014 ).

Another variable included in the model was the time spent on homework. Findings on the relationship between time spent on homework and academic achievement are mixed. Some studies found a positive relationship (Cooper et al., 2001 , 2006 ) while others found a null or a negative one (Trautwein et al., 2006b , 2009 ). In 2009, Dettmers, Trautwein and Lüdtke conducted a study with data from the PISA 2003 (Dettmers et al., 2009 ). Findings on the relationship between the number of hours spent on homework and academic achievement in mathematics show that the students in countries with higher grades spend fewer hours doing homework than students in countries with low academic grades. At the student level, findings showed a negative relationship between time spent on homework and academic achievement in 12 out of 40 countries.

The relationship between the amount of homework done, time dedicated to homework, and academic achievement was hypothesized to be mediated by the homework time management. Xu ( 2007 ) was one of the pioneers examining the management of the time spent on homework. Initially, Xu ( 2007 ) did not find a relationship between time management and academic achievement (spend more time on homework is not equal to use efficient strategies for time management). Latter, Xu ( 2010 ) found a positive relationship between students' grade level, organized environment, and homework time management. More recently, Núñez et al. ( 2015c ) found that effective homework time management affects positively the amount of homework done, and, consequently, academic achievement. This relationship is stronger for elementary students when compared with students in high school.

Academic motivation and student homework engagement relationship

Literature has consistently shown that a deep approach to learning is associated positively with the quality of the learning outcomes (Rosário et al., 2013b ; Cano et al., 2014 ; Vallejo et al., 2014 ). The adoption of a deep approach to homework depends on many factors, but students self-set goals and their motives for doing homework are among the most critical motivational variables when students decide to engage in homework.

Literature on achievement motivation highlights academic goals as an important line of research (Ng, 2008 ). In the educational setting, whereas learning goals focus on the comprehension and mastery of the content, performance goals are more focused on achieving a better performance than their colleagues (Pajares et al., 2000 ; Gaudreau, 2012 ).

Extant literature reports a positive relationship between adopting learning goals and the use of cognitive and self-regulation strategies (Elliot et al., 1999 ; Núñez et al., 2013 ). In fact, students who value learning and show an intention to learn and improve their competences are likely to use deep learning strategies (Suárez et al., 2001 ; Valle et al., 2003a , b , 2015d ), which are aimed at understanding the content in depth. Moreover, these learning-goal oriented students are likely to self-regulate their learning process (Valle et al., 2015a ), put on effort to learn, and assume the control of their learning process (Rosário et al., 2016 ). These students persist much longer when they face difficult and challenging tasks than colleagues pursuing performance goals. The former also use more strategies oriented toward the comprehension of content, are more intrinsically motivated, and feel more enthusiasm about academic work. Some researchers also found positive relationships between learning goals and pro-social behavior (e.g., Inglés et al., 2013 ).

Reviewing the differentiation between learning goals and performance goals, Elliot and colleagues (Elliot and Church, 1997 ; Elliot, 1999 ; Elliot et al., 1999 ) proposed a three-dimensional framework for academic goals. In addition to learning goals, performance goals were differentiated as follows: (a) performance-approach goals, focused on achieving competence with regard to others; and (b) performance-avoidance goals, aimed at avoiding incompetence with regard to others. Various studies have provided empirical support for this distinction within performance goals (e.g., Wolters et al., 1996 ; Middleton and Midgley, 1997 ; Skaalvik, 1997 ; Rodríguez et al., 2001 ; Valle et al., 2006 ). Moreover, some authors proposed a similar differentiation for learning goals (Elliot, 1999 ). The rationale was as follows: learning goals are characterized by high engagement in academic tasks, so an avoidance tendency in such goals should reflect avoidance of this engagement. Hence, students who pursue a work avoidance goal are likely to avoid challenging tasks and to put on effort to do well, only doing the bare minimum to complete the task. In general, learning goals are associated with a large amount of positive results in diverse motivational, cognitive, and achievement outcomes, whereas performance goals have been linked to less adaptive outcomes, or even to negative outcomes (Valle et al., 2009 ).

Aims of this study

Several relationships between motivational, cognitive, and behavioral variables involving self-regulated learning in the classroom have recently been studied (Rosário et al., 2013a ). However, there is a lack of knowledge of the relationships between these variables throughout the process of doing homework.

The principal purpose of this work (see Figure ​ Figure1) 1 ) is to analyze how student homework engagement (cognitive and behavioral) mediates motivation and academic performance. This study aims to provide new information about an issue that is taken for granted, but which, as far as we know, lacks empirical data. The question is: to what extent students acknowledge homework as a good way to acquire competence, improve their skills and performance? Our working hypothesis is that student value homework in this regard. Therefore, we hypothesized that the more students are motivated to learn, the more they will be involved (cognitively and behaviorally) in their homework, and the higher their academic achievement.

To address this goal, we developed a path analysis model (see Figure ​ Figure1) 1 ) in which we hypothesized that: (a) the student's motivational level is significantly related to their cognitive homework engagement (i.e., the approach to studying applied to homework), and their behavioral homework engagement (i.e., amount of time spent and homework time management, and amount of homework completed); (b) student's cognitive and behavioral homework engagement are positively associated with academic achievement; and (c) cognitive and behavioral homework engagement are related (the more deep cognitive engagement, the more time spent and time management, and the more amount of homework is done).

Participants

The study enrolled 535 students, aged between 9 and 13 ( M = 10.32, SD = 0.99), of four public schools, from the last three years of the Spanish Elementary Education (4th, 5th, and 6th grade level), of whom 49.3% were boys. By grade, 40.4% ( n = 216) were enrolled in the 4th grade, 35.1% ( n = 188) in the 5th grade, and 24.5% ( n = 131) in the 6th grade.

Learning goals

The level and type of motivation for academic learning was assessed with the Academic Goals Instrument (Núñez et al., 1997 ). Although, this instrument allows differentiating a broad range of academic goals, for the purposes of this work, we only used the subscale of learning goals (i.e., competence and control). The instrument is rated on a 5-point Likert-type scale, with responses ranging from one (not at all interested) to five (absolutely interested in learning and acquiring competence and control in the different subjects). An example item is: “I make an effort in my studies because performing the academic tasks allows me to increase my knowledge.” The reliability of the scale is good (α = 0.87).

Approach to homework

To measure the process of approaching homework, we adapted the Students' Approaches to Learning Inventory (Rosário et al., 2010a , 2013a ), taking into account both the students' age and the homework contexts. This instrument is based on voluminous literature on approaches to learning (e.g., Biggs et al., 2001 ; Rosário et al., 2005 ), and provides information about two ways of approaching homework. For the purpose of this research, we only used the deep approach (e.g., “Before starting homework, I usually decide whether what was taught in class is clear and, if not, I review the lesson before I start”). Students respond to the items on a 5-point Likert-type scale ranging from one (not at all deep approach) to five (completely deep approach). The reliability of the scale is good (α = 0.80).

Time spent on homework, homework time management, and amount of homework completed

To measure these three variables, we used the Homework Survey (e.g., Rosário et al., 2009 ; Núñez et al., 2015a , b ; Valle et al., 2015b , c ). To measure the time spent on homework , students responded to three items (in general, in a typical week, on a typical weekend) with the general formulation, “How much time do you usually spend on homework?,” with the response options 1, <30 min; 2, 30 min to 1 h; 3, 1 h to an hour and a half; 4, 1 h and a half to 2 h; 5, more than 2 h. Homework time management was measured through the responses to three items (in general, in a typical week, on a typical weekend) in which they were asked to indicate how they managed the time normally spent doing homework, using the following scale: 1, I waste it completely (I am constantly distracted by anything); 2, I waste it more than I should; 3, regular; 4, I manage it pretty much; 5, I optimize it completely (I concentrate and until I finish, I don't think about anything else). Finally, the amount of homework completed by students (assigned by teachers) was assessed through responses to an item about the amount of homework usually done, using a 5-point Likert-type scale (1, none; 2, some; 3, one half; 4, almost all; 5, all).

Academic achievement

Assessment of academic achievement was assessed through students' report card grades in Spanish Language, Galician Language, English Language, Knowledge of the Environment, and Mathematics. Average achievement was calculated with the mean grades in these five areas.

Data of the target variables was collected during regular school hours, by research assistants, after obtaining the consent of the school administration and of the teachers and students. Prior to the application of the questionnaires, which took place in a single session, the participants were informed about the goals of the project, and assured that data was confidential and used for research purposes only.

Data analysis

The model was fit with AMOS 18 (Arbuckle, 2009 ). The data were previously analyzed and individual cases presenting a significant number of missing values were eliminated (2.1%), whereas the rest of the missing values were replaced by the mean. Taking into account the analysis of the characteristics of the variables (e.g., skewness and kurtosis in Table ​ Table1), 1 ), we used the maximum likelihood method to fit the model and estimate the values of the parameters.

Means, standard deviations, skewness, kurtosis, and correlation matrix of the target variables .

A series of goodness-of-fit statistics were used to analyze our model. Beyond chi-square (χ 2 ) and its associated probability ( p ), the information provided by the goodness-of-fit index (GFI) and the adjusted goodness-of-fit index (AGFI; Jöreskog and Sörbom, 1983 ); the comparative fit index (CFI) (Bentler, 1990 ); and the root mean square error of approximation (RMSEA; Browne and Cudeck, 1993 ) was used. According to these authors, the model fits well when GFI and AGFI > 0.90, CFI > 0.95, and RMSEA ≤ 0.05.

Descriptive analysis

The relations between the variables included in the model as well as the descriptive statistics are shown in Table ​ Table1. 1 . All the variables were significantly and positively related, except for the time spent on homework, which was only related to the amount of homework done. According to the value of the means of these variables, students in the last years of elementary school: (a) reported a high level of motivation to learn and mastery; (b) used preferentially a deep approach to homework; (c) did the homework assigned by the teachers most of the times; (d) usually spent about an hour a day on homework; (e) reported to manage their study time effectively; and (f) showed a medium-high level of academic achievement.

Evaluation and re-specification of the initial model

The data obtained indicated that the initial model (see Figure ​ Figure1) 1 ) presented a poor fit to the empirical data: χ 2 = 155.80, df = 8, p < 0.001, GFI = 0.917, AGFI = 0.783, TLI = 0.534, CFI = 0.751, RMSEA = 0.186, 90% CI (0.161, 0.212), p < 0.001. Analysis of the modification indexes revealed the need to include three direct effects initially considered as null, and to eliminate a finally null effect (included in the initial model as significant). The strategy adopted to modify the initial model involved including and estimating the model each time a new effect was included. The final model comprised three effects (academic goals on homework time management, on amount of homework done, and on academic achievement) and the elimination of the initially established effect of the approach to studying on the time spent doing homework. The inclusion or elimination of the effects in the model was determined accounting for their statistical and theoretical significance. The final model resulting from these modifications is shown in Figure ​ Figure2, 2 , with an adequate fit to the empirical data: χ 2 = 12.03, df = 6, p = 0.061, GFI = 0.993, AGFI = 0.974, TLI = 0.975, CFI = 0.990, RMSEA = 0.043, 90% CI (0.000, 0.079), p = 0.567.

An external file that holds a picture, illustration, etc.
Object name is fpsyg-07-00463-g0002.jpg

The results of the fit of the hypothesized model (standardized outcomes): Relations in dashed lines were found to be statistically significant, but this was not established in the initial model .

Assessment of the relationships on the final model

Table ​ Table2 2 presents the data obtained for the relationships considered in the final model (see also Figure ​ Figure2 2 ).

Fit of the hypothesized model (standardized outcomes): final model of student engagement in homework .

The data from Table ​ Table2 2 and Figure ​ Figure2 2 indicates that the majority of the relationships between the variables are consistent with the hypotheses. First, we found a statistically significant association between the learning goals (i.e., competence and control), the approach to homework ( b = 0.50, p < 0.001), two of the variables associated with engagement in homework (the amount of homework done [ b = 0.27, p < 0.001], homework time management [ b = 0.30, p < 0.001]), and academic achievement ( b = 0.34, p < 0.001). These results indicate that the more oriented students are toward learning goals (i.e., competence and control), the deeper the approach to homework, the more homework is completed, the better the homework time management, and the higher the academic achievement.

Second, a statistically significant association between the deep approach and homework time management ( b = 0.30, p < 0.001) and the amount of homework done ( b = 0.09, p < 0.05) was found. These results reflect that the deeper the students' approach to homework, the better the management of the time spent on homework, and the more the homework done. Third, there was a statistically significant association between homework time management, time spent on homework, and the amount of homework done ( b = 0.23, p < 0.001, and b = 0.10, p < 0.01, respectively). These results confirm, as expected, that the more time students spent doing homework and the better students manage their homework time, the more homework they will do. Four, we found a statistically significant relation between the amount of homework done and academic achievement ( b = 0.20, p < 0.001). This indicates that the more homework students complete the better their academic achievement.

In summary, our findings indicate that: (a) academic achievement is positively associated with the amount of homework completed; (b) the amount of homework done is related to homework time management; (c) homework time management is associated with how homework is done (approach to homework); and (d) consistent with the behavior of the variables in the model (except for the time spent on homework), how homework is done (i.e., approach to homework) is explained to a great extent (see total effects in Table ​ Table3) 3 ) by the student's type of academic motivation.

Standardized direct, indirect, and total effects for the final model .

Finally, taking into account both the direct effects (represented in Figure ​ Figure2) 2 ) and the indirect ones (see Table ​ Table3), 3 ), the model explained between 20 and 30% of the variance of the dependent variables (except for the time spent on homework, which is not explained at all): approach to homework (24.7%), time management (26.9%), amount of homework done (24.4%), and academic achievement (21.6%).

Consistent with prior research (e.g., Cooper et al., 2001 ), our findings showed that students' academic achievement in the last years of elementary education is closely related to the amount of homework done. In addition, the present study also confirms the importance of students' effort and commitment to doing homework (Trautwein et al., 2006a , b ), showing that academic achievement is also related with students' desire and interest to learn and improve their skills. Therefore, when teachers assign homework, it is essential to attend to students' typical approach to learning, which is mediated by the motivational profile and by the way students solve the tasks proposed (Hong et al., 2004 ). The results of this investigation suggest that the adoption of learning goals leads to important educational benefits (Meece et al., 2006 ), among which is doing homework.

Importantly, our study shows that the amount of homework done is associated not only with the time spent, but also with the time management. Time spent on homework should not be considered an absolute indicator of the amount of homework done, because students' cognitive skills, motivation, and prior knowledge may significantly affect the time needed to complete the homework assignment (Regueiro et al., 2015 ). For students, managing homework time is a challenge (Corno, 2000 ; Xu, 2008 ), but doing it correctly may have a positive influence on their academic success (Claessens et al., 2007 ), on homework completion (Xu, 2005 ), and on school achievement (Eilam, 2001 ).

Despite, that previous studies reported a positive relationship between the time spent on homework and academic achievement (Cooper et al., 2006 ), the present research shows that time spent on homework is not a relevant predictor of academic achievement. Other studies have also obtained similar results (Trautwein et al., 2009 ; Núñez et al., 2015a ), indicating that time spent on homework is negatively associated to academic achievement, perhaps because spending a lot of time on homework may indicate an inefficient working style and lack of motivation (Núñez et al., 2015a ). Besides, our data indicates that spending more time on homework is positively associated to the amount of homework done.

Although, some studies have found that students who spend more time on homework also tend to report greater commitment to school work (Galloway et al., 2013 ), our findings indicated that spending more time doing homework was not related to a deeper engagement on the task. A possible explanation may be that using a deep approach to school tasks subsumes engaging in homework with the aim of practicing but also to further extend the content learned in class. This approach does not depends on the time spent doing homework, rather on the students' motives for doing homework.

Another important contribution of this study concerns learning-oriented goals—usually associated with positive outcomes in motivational, cognitive, and achievement variables (Pajares et al., 2000 ). Results indicate that the motivation to increase competence and learning is also related to approaching homework deeply and to manage homework efficiently. Consistent with previous findings (Xu, 2005 ), these results provide additional empirical support to time management goals (Pintrich, 2004 ).

There is a robust relationship between learning-oriented goals and a deep approach, and between a deep approach and the amount of homework done. All this indicates that these results are in line with prior research, meaning that the adoption of a deep approach to learning is related with high quality academic achievement (Lindblom-Ylänne and Lonka, 1999 ; Rosário et al., 2013b ).

Educational implications and study limitations

One of the major limitations of this study lies in the type of research design used. We used a cross-sectional design to examine the effects among the variables within a path analysis model. However, to establish a cause-effect relationship a temporal sequence between two variables is needed a requirement that can only be met with longitudinal designs. Future studies should consider address this limitation.

Despite the above limitation, our results can be considered relevant and show important educational implications. It is essential for teachers and school administrators to be sensitized about the effects of teachers' homework follow-up practices on students' homework engagement (Rosário et al., 2015 ), and of these variables in students' school engagement and academic success. Likewise, research on students' learning should be undertaken from the perspective of the learners to understand how students use their knowledge and skills to do homework and to solve problems posed therein. On the other hand, research should examine in-depth the use of learning strategies during homework, as well as how students' motivations at an early age may foster homework completion and increase the quality of school outcomes. For this last purpose, teachers should pay attention not only to the acquisition of curricular content but also to the development of the appropriate thinking skills and self-regulated learning strategies (Rosário et al., 2010b ; Núñez et al., 2013 ). Finally, the amount of homework done and its positive relationship with academic achievement should be considered as a final outcome of a process rooted on a comprehensive and meaningful learning. Students motivated to learn are likely to approach homework deeply and manage homework time efficaciously. As a result, they tend to do more homework and outperform. In sum, is doing homework a good way to acquire competence, improve skills, and outperform? Our data suggest a positive answer.

Author contributions

AV and BR Collect data, data analysis, writing the paper. JN and PR data analysis, writing the paper. SR and IP writing the paper.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This work was developed through the funding of the research project EDU2013-44062-P, of the State Plan of Scientific and Technical Research and Innovation 2013-2016 (MINECO) and to the financing received by one of the authors in the FPU program of the Ministry of Education, Culture, and Sport.

  • Appleton J. J., Christenson S. L., Furlong M. J. (2008). Student engagement with school: critical conceptual and methodological issues of the construct . Psychol. Sch. 45 , 369–386. 10.1002/pits.20303 [ CrossRef ] [ Google Scholar ]
  • Appleton J. J., Christenson S. L., Kim D., Reschly A. L. (2006). Measuring cognitive and psychological engagement: validation of the student engagement instrument . J. Sch. Psychol. 44 , 427–445. 10.1016/j.jsp.2006.04.002 [ CrossRef ] [ Google Scholar ]
  • Arbuckle J. L. (2009). Amos 18.0 User's Guide . Crawfordville, FL: Amos Development Corporation. [ Google Scholar ]
  • Bentler P. M. (1990). Comparative fit indexes in structural models . Psychol. Bull. 107 , 238–246. 10.1037/0033-2909.107.2.238 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Biggs J., Kember D., Leung D. Y. (2001). The revised two-actor study process questionnaire: R-SPQ-2F . Br. J. Educ. Psychol. 71 , 133–149. 10.1348/000709901158433 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Boekaerts M. (1999). Self-regulated learning: where are today . Int. J. Educ. Res. 31 , 445–458. 10.1016/S0883-0355(99)00014-2 [ CrossRef ] [ Google Scholar ]
  • Browne M. W., Cudeck R. (1993). Alternative ways of assessing model fit , in Testing Structural Equation Models , eds Bollen K., Long J. (Newbury Park, CA: Sage; ), 136–162. [ Google Scholar ]
  • Cano F., García A., Justicia F., García-Berbén A. B. (2014). Enfoques de aprendizaje y comprensión lectora: el papel de las preguntas de los estudiantes y del conocimiento previo [Approaches to learning and reading comprehension: the role of students' questions and of prior knowledge] . Rev. Psicodidáctica 19 , 247–265. 10.1387/RevPsicodidact.10186 [ CrossRef ] [ Google Scholar ]
  • Claessens B. J. C., van Eerde W., Rutte C. G., Roe R. A. (2007). A review of the time management literature . Pers. Rev. 36 , 255–276. 10.1108/00483480710726136 [ CrossRef ] [ Google Scholar ]
  • Cooper H., Jackson K., Nye B., Lindsay J. J. (2001). A model of homework's influence on the performance evaluations of elementary school students . J. Exp. Educ. 69 , 181–200. 10.1080/00220970109600655 [ CrossRef ] [ Google Scholar ]
  • Cooper H., Robinson J. C., Patall E. A. (2006). Does homework improve academic achievement? A synthesis of research, 1987–2003 . Rev. Educ. Res. 76 , 1–62. 10.3102/00346543076001001 [ CrossRef ] [ Google Scholar ]
  • Corno L. (2000). Looking at homework differently . Element. Sch. J. 100 , 529–548. 10.1086/499654 [ CrossRef ] [ Google Scholar ]
  • Deci E. L., Ryan R. M. (2002). Handbook of Self-Determination Research . New York, NY: University of Rochester Press. [ Google Scholar ]
  • Dettmers S., Trautwein U., Lüdtke O. (2009). The relationship between homework time and achievement is not universal: evidence from multilevel analyses in 40 countries . Sch. Eff. Sch. Improv. 20 , 375–405. 10.1080/09243450902904601 [ CrossRef ] [ Google Scholar ]
  • Eccles J., Wang M. T. (2012). Part I Commentary: so what is student engagement anyway? ,in Handbook of Research on Student Engagement , eds Christenson S. L., Reschly A. L., Wylie C. (New York, NY: Springer; ), 133–145. [ Google Scholar ]
  • Eccles (Parsons) J., Adler T. F., Futterman R., Goff S. B., Kaczala C. M., Meece J. L., et al. (1983). Expectancies, values, and academic choice: origins and changes , in Achievement and Achievement Motivation , ed Spence J. (San Francisco, CA: Freeman; ), 75–146. [ Google Scholar ]
  • Eilam B. (2001). Primary strategies for promoting homework performance . Am. Educ. Res. J. 38 , 691–725. 10.3102/00028312038003691 [ CrossRef ] [ Google Scholar ]
  • Elliot A. J. (1999). Approach and avoidance motivation and achievement goals . Educ. Psychol. 34 , 169–189. 10.1207/s15326985ep3403_3 [ CrossRef ] [ Google Scholar ]
  • Elliot A. J., Church M. A. (1997). A hierarchical model of approach and avoidance achievement motivation . J. Pers. Soc. Psychol. 72 , 218–232. 10.1037/0022-3514.72.1.218 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Elliot A. J., McGregor H. A., Gable S. (1999). Achievement goals, study strategies, and exam performance: a mediational analysis . J. Educ. Psychol. 91 , 549–563. 10.1037/0022-0663.91.3.549 [ CrossRef ] [ Google Scholar ]
  • Entwistle N. J. (1991). Approaches to learning and perceptions of the learning environment . High. Educ. 22 , 201–204. 10.1007/BF00132287 [ CrossRef ] [ Google Scholar ]
  • Entwistle N. J. (2009). Teaching for Understanding at University: Deep Approaches and Distinctive Ways of Thinking . Basingstoke: Palgrave Macmillan. [ Google Scholar ]
  • Fernández-Alonso R., Suárez-Álvarez J., Muñiz J. (2014). Tareas escolares en el hogar y rendimiento en matemáticas: una aproximación multinivel con estudiantes de Enseñanza Primaria [Homework and academic performance in mathematics: a multilevel approach with Primary school students] . Rev. Psicol. Educ. 9 , 15–29. [ Google Scholar ]
  • Fredricks J. A., Blumenfeld P. C., Paris A. (2004). School engagement: potential of the concept, state of the evidence . Rev. Educ. Res. 74 , 59–109. 10.3102/00346543074001059 [ CrossRef ] [ Google Scholar ]
  • Galloway M., Conner J., Pope D. (2013). Nonacademic effects of homework in privileged, high-performing high schools . J. Exp. Educ. 81 , 490–510. 10.1080/00220973.2012.745469 [ CrossRef ] [ Google Scholar ]
  • Gaudreau P. (2012). Goal self-concordance moderates the relationship between achievement goals and indicators of academic adjustment . Learn. Individ. Differ. 22 , 827–832. 10.1016/j.lindif.2012.06.006 [ CrossRef ] [ Google Scholar ]
  • Hong E., Milgram R. M., Rowell L. L. (2004). Homework motivation and preference: a learner-centered homework approach . Theory Pract. 43 , 197–203. 10.1207/s15430421tip4303_5 [ CrossRef ] [ Google Scholar ]
  • Inglés C. J., Martínez-González A. E., García-Fernández J. M. (2013). Conducta prosocial y estrategias de aprendizaje en una muestra de estudiantes españoles de Educación Secundaria Obligatoria [Prosocial behavior and learning strategies in a sample of Spanish students of Compulsory Secondary Education] . Eur. J. Educ. Psychol. 6 , 33–53. 10.1989/ejep.v6i1.101 [ CrossRef ] [ Google Scholar ]
  • Jöreskog K. G., Sörbom D. (1983). LISREL - 6 User's Reference Guide . Mooresville, IN: Scientifi c Software. [ Google Scholar ]
  • Kohn A. (2006). Abusing research: the study of homework and other examples . Phi Delta Kappan 88 , 9–22. 10.1177/003172170608800105 [ CrossRef ] [ Google Scholar ]
  • Lindblom-Ylänne S., Lonka K. (1999). Individual ways of interacting with the learning environment - are they related to study success? Learn. Instruct. 9 , 1–18. 10.1016/S0959-4752(98)00025-5 [ CrossRef ] [ Google Scholar ]
  • Marks H. (2000). Student engagement in instructional activity: patterns in the elementary, middle, and high school years . Am. Educ. Res. J. 37 , 153–184. 10.3102/00028312037001153 [ CrossRef ] [ Google Scholar ]
  • Martin A. J. (2012). Motivation and engagement: conceptual, operational, and empirical clarity , in Handbook of Research on Student Engagement , eds Christenson S. L., Reschly A. L., Wylie C. (New York, NY: Springer; ), 303–311. [ Google Scholar ]
  • Marton F., Säljö R. (1976a). On qualitative differences in learning . I: outcome and process. Br. J. Educ. Psychol. 46 , 4–11. 10.1111/j.2044-8279.1976.tb02980.x [ CrossRef ] [ Google Scholar ]
  • Marton F., Säljö R. (1976b). On qualitative differences in learning . II: outcome as a function of the learner's conception of the task. Br. J. Educ. Psychol. 46 , 115–127. 10.1111/j.2044-8279.1976.tb02304.x [ CrossRef ] [ Google Scholar ]
  • Meece J. L., Anderman E. M., Anderman L. H. (2006). Classroom goal structure, student motivation, and academic achievement . Annu. Rev. Psychol. 57 , 487–503. 10.1146/annurev.psych.56.091103.070258 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Middleton M., Midgley C. (1997). Avoiding the demonstration of lack of ability: an unexplored aspect of goal theory . J. Educ. Psychol. 89 , 710–718. 10.1037/0022-0663.89.4.710 [ CrossRef ] [ Google Scholar ]
  • Muhlenbruck L., Cooper H., Nye B., Lindsay J. J. (2000). Homework and achievement: explaining the different strengths of relation at the elementary and secondary school levels . Soc. Psychol. Educ. 3 , 295–317. 10.1023/A:1009680513901 [ CrossRef ] [ Google Scholar ]
  • Ng C. H. (2008). Multiple-goal learners and their differential patterns of learning . Educ. Psychol. 28 , 439–456. 10.1080/01443410701739470 [ CrossRef ] [ Google Scholar ]
  • Núñez J. C., González-Pienda J. A., González-Pumariega S., García M., Roces C. (1997). Cuestionario Para la Evaluación de Metas Académicas [Academic Goals Assessment Questionnaire] . Department of Psychology, University of Oviedo. [ Google Scholar ]
  • Núñez J. C., Suárez N., Cerezo R., González-Pienda J. A., Rosário P., Mourão R., et al. (2015a). Homework and academic achievement across Spanish Compulsory Education . Educ. Psychol. 35 , 726–746. 10.1080/01443410.2013.817537 [ CrossRef ] [ Google Scholar ]
  • Núñez J. C., Suárez N., Rosário P., Vallejo G., Cerezo R., Valle A. (2015b). Teachers' feedback on homework, homework-related behaviors and academic achievement . J. Educ. Res. 108 , 204–216. 10.1080/00220671.2013.878298 [ CrossRef ] [ Google Scholar ]
  • Núñez J. C., Suárez N., Rosário P., Vallejo G., Valle A., Epstein J. L. (2015c). Relationships between parental involvement in homework, student homework behaviors, and academic achievement: differences among elementary, junior high, and high school students . Metacogn. Learn. 10 , 375–406. 10.1007/s11409-015-9135-5 [ CrossRef ] [ Google Scholar ]
  • Núñez J., Rosário P., Vallejo G., González-Pienda J. (2013). A longitudinal assessment of the effectiveness of a school-based mentoring program in middle school . Contemp. Educ. Psychol. 38 , 11–21. 10.1016/j.cedpsych.2012.10.002 [ CrossRef ] [ Google Scholar ]
  • Pajares F., Britner S. L., Valiante G. (2000). Relation between achievement goals and self-beliefs of middle school students in writing and science . Contemp. Educ. Psychol. 25 , 406–422. 10.1006/ceps.1999.1027 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Pintrich P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students . Educ. Psychol. Rev. 16 , 385–407. 10.1007/s10648-004-0006-x [ CrossRef ] [ Google Scholar ]
  • Pintrich P. R., De Groot E. V. (1990). Motivational and self-regulated learning components of classroom performance . J. Educ. Psychol. 82 , 33–40. 10.1037/0022-0663.82.1.33 [ CrossRef ] [ Google Scholar ]
  • Reeve J., Jang H., Carrell D., Jeon S., Barch J. (2004). Enhancing students' engagement by increasing teachers' autonomy support . Motiv. Emot. 28 , 147–169. 10.1023/B:MOEM.0000032312.95499.6f [ CrossRef ] [ Google Scholar ]
  • Regueiro B., Suárez N., Valle A., Núñez J. C., Rosário P. (2015). La motivación e implicación en los deberes escolares a lo largo de la escolaridad obligatoria [Homework motivation and engagement throughout compulsory education] . Rev. Psicodidáctica 20 , 47–63. 10.1387/RevPsicodidact.12641 [ CrossRef ] [ Google Scholar ]
  • Rodríguez S., Cabanach R. G., Piñeiro I., Valle A., Núñez J. C., González-Pienda J. A. (2001). Metas de aproximación, metas de evitación y múltiples metas académicas [Approach goals, avoidance goals and multiple academic goals] . Psicothema 13 , 546–550. [ Google Scholar ]
  • Rosário P., González-Pienda J. A., Pinto R., Ferreira P., Lourenço A., Paiva O. (2010a). Efficacy of the program “Testas's (mis)adventures” to promote the deep approach to learning . Psicothema 22 , 828–834. [ PubMed ] [ Google Scholar ]
  • Rosário P., Mourão R., Baldaque M., Nunes T., Núñez J. C., González-Pienda J. A., et al. (2009). Homework, self-regulation of learning and math performance . Rev. Psicodidáctica 14 , 179–192. [ Google Scholar ]
  • Rosário P., Núñez J. A., Ferrando J. P., Paiva O., Lourenço A., Cerezo R., et al. (2013a). The relationship between approaches to teaching and approaches to studying: a two-level structural equation model for biology achievement in high school . Metacogn. Learn. 8 , 47–77. 10.1007/s11409-013-9095-6 [ CrossRef ] [ Google Scholar ]
  • Rosário P., Núñez J. C., González-Pienda J. A., Almeida L., Soares S., Rúbio M. (2005). Academic learning from the perspective of Model 3P of J. Biggs . Psicothema 17 , 20–30. [ Google Scholar ]
  • Rosário P., Núñez J. C., González-Pienda J. A., Valle A., Trigo L., Guimarães C. (2010b). Enhancing self-regulation and approaches to learning in first-year college students: a narrative-based program assessed in the Iberian Peninsula . Eur. J. Psychol. Educ. 25 , 411–428. 10.1007/s10212-010-0020-y [ CrossRef ] [ Google Scholar ]
  • Rosário P., Núñez J. C., Vallejo G., Cunha J., Azevedo R., Pereira R., et al. (2016). Promoting Gypsy children school engagement: a story-tool project to enhance self-regulated learning . Contemp. Educ. Psychol . [Epub ahead of print]. 10.1016/j.cedpsych.2015.11.005. [ CrossRef ] [ Google Scholar ]
  • Rosário P., Núñez J. C., Vallejo G., Cunha J., Nunes T., Suárez N., et al.. (2015). The effects of teachers' homework follow-up practices on students' EFL performance: a randomized-group design . Front. Psychol. 6 : 1528 . 10.3389/fpsyg.2015.01528 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Rosário P., Núñez J., Valle A., González-Pienda J., Lourenço A. (2013b). Grade level, study time, and grade retention and their effects on motivation, self-regulated learning strategies, and mathematics achievement: a structural equation model . Eur. J. Psychol. Educ. 28 , 1311–1331. 10.1007/s10212-012-0167-9 [ CrossRef ] [ Google Scholar ]
  • Skaalvik E. (1997). Self- enhancing and self-defeating ego orientation: relations with task and avoidance orientation, achievement, self- perceptions, and anxiety . J. Educ. Psychol. 89 , 71–81. 10.1037/0022-0663.89.1.71 [ CrossRef ] [ Google Scholar ]
  • Skinner E. A., Pitzer J. R. (2012). Developmental dynamics of student engagement, coping, and everyday resilience , in Handbook of Research on Student Engagement , eds Christenson S. L., Reschly A. L., Wylie C. (New York, NY: Springer; ), 21–44. [ Google Scholar ]
  • Struyven K., Dochy F., Janssens S., Gielen S. (2006). On the dynamics of students' approaches to learning: the effects of the teaching/learning environment . Learn. Instr. 16 , 279–294. 10.1016/j.learninstruc.2006.07.001 [ CrossRef ] [ Google Scholar ]
  • Suárez J. M., Cabanach R. G., Valle A. (2001). Multiple-goal pursuit and its relation to cognitive, self-regulatory, and motivational strategies . Br. J. Educ. Psychol. 71 , 561–572. 10.1348/000709901158677 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Trautwein U., Lüdtke O., Kastens C., Köller O. (2006a). Effort on homework in grades 5 through 9: development, motivational antecedents, and the association with effort on classwork . Child Dev. 77 , 1094–1111. 10.1111/j.1467-8624.2006.00921.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Trautwein U., Ludtke O., Schnyder I., Niggli A. (2006b). Predicting homework effort: support for a domain-specific, multilevel homework model . J. Educ. Psychol. 98 , 438–456. 10.1037/0022-0663.98.2.438 [ CrossRef ] [ Google Scholar ]
  • Trautwein U., Schnyder I., Niggli A., Neumann M., Lüdtke O. (2009). Chameleon effects in homework research: the homework-achievement association depends on the measures used and the level of analysis chosen . Contemp. Educ. Psychol. 34 , 77–88. 10.1016/j.cedpsych.2008.09.001 [ CrossRef ] [ Google Scholar ]
  • Valle A., Cabanach R. G., Núñez J. C., González-Pienda J. A., Rodríguez S., Piñeiro I. (2003a). Cognitive, motivational, and volitional dimensions of learning: an empirical test of a hypothetical model . Res. High. Educ. 44 , 557–580. 10.1023/A:1025443325499 [ CrossRef ] [ Google Scholar ]
  • Valle A., Cabanach R. G., Núñez J. C., González-Pienda J. A., Rodríguez S., Piñeiro I. (2003b). Multiple goals, motivation and academic learning . Br. J. Educ. Psychol. 73 , 71–87. 10.1348/000709903762869923 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Valle A., Cabanach R. G., Rodríguez S., Núñez J. C., González-Pienda J. A. (2006). Metas académicas, estrategias cognitivas y estrategias de autorregulación del estudio [Academic goals, cognitive and self-regulatory strategies] . Psicothema 18 , 166–170. [ PubMed ] [ Google Scholar ]
  • Valle A., Núñez J. C., Cabanach R. G., González-Pienda J. A., Rodríguez S., Rosário P., et al.. (2009). Academic goals and learning quality in higher education students . Span. J. Psychol. 12 , 96–105. 10.1017/S1138741600001517 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Valle A., Núñez J. C., Cabanach R., Rodríguez S., Rosário P., Inglés C. (2015a). Motivational profiles as a combination of academic goals in higher education . Educ. Psychol. 35 , 634–650. 10.1080/01443410.2013.819072 [ CrossRef ] [ Google Scholar ]
  • Valle A., Pan I., Núñez J. C., Rosário P., Rodríguez S., Regueiro B. (2015b). Deberes escolares y rendimiento académico en Educación Primaria [Homework and academic achievement in Primary Education] . An. Psicol. 31 , 562–569. 10.6018/analesps.31.2.171131 [ CrossRef ] [ Google Scholar ]
  • Valle A., Pan I., Regueiro B., Suárez N., Tuero E., Nunes A. R. (2015c). Predicting approach to homework in primary school students . Psicothema 27 , 334–340. 10.7334/psicothema2015.118 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Valle A., Regueiro B., Rodríguez S., Piñeiro I., Freire C., Ferradás M., et al. (2015d). Perfiles motivacionales como combinación de expectativas de autoeficacia y metas académicas en estudiantes universitarios [Motivational profiles as a combination of self-efficacy expectations and academic goals in university students] . Eur. J. Educ. Psychol. 8 , 1–8. 10.1016/j.ejeps.2015.10.001 [ CrossRef ] [ Google Scholar ]
  • Vallejo G., Tuero E., Núñez J. C., Rosário P. (2014). Performance evaluation of recent information criteria for selecting multilevel models in behavioral and social sciences . Int. J. Clin. Health Psychol. 14 , 48–57. 10.1016/S1697-2600(14)70036-5 [ CrossRef ] [ Google Scholar ]
  • Wolters C. A., Yu S. L., Pintrich P. R. (1996). The relation between goal orientation and students' motivational beliefs and self- regulated learning . Learn. Individ. Differ. 8 , 211−238. 10.1016/s1041-6080(96)90015-1 [ CrossRef ] [ Google Scholar ]
  • Xu J. (2005). Purposes for doing homework reported by middle and high school students . J. Educ. Res. 99 , 46–55. 10.3200/JOER.99.1.46-55 [ CrossRef ] [ Google Scholar ]
  • Xu J. (2007). Middle-school homework management: more than just gender and family involvement . Educ. Psychol. 27 , 173–189. 10.1080/01443410601066669 [ CrossRef ] [ Google Scholar ]
  • Xu J. (2008). Validation of scores on the Homework Management Scale for high school students . Educ. Psychol. Meas. 68 , 304–324. 10.1177/0013164407301531 [ CrossRef ] [ Google Scholar ]
  • Xu J. (2010). Predicting homework time management at the secondary school level: a multilevel analysis . Learn. Individ. Differ. 20 , 34–39. 10.1016/j.lindif.2009.11.001 [ CrossRef ] [ Google Scholar ]
  • Zimmerman B. J., Kitsantas A. (2005). Homework practices and academic achievement: the mediating role of self-efficacy and perceived responsibility beliefs . Contemp. Educ. Psychol. 30 , 397–417. 10.1016/j.cedpsych.2005.05.003 [ CrossRef ] [ Google Scholar ]

A community blog focused on educational excellence and equity

About the topic

Explore classroom guidance, techniques, and activities to help you meet the needs of ALL students.

most recent articles

does assigning homework improve student achievement

Shaking Up High School Math

does assigning homework improve student achievement

Executive Functions and Literacy Skills in the Classroom

does assigning homework improve student achievement

Connecting and Communicating With Families to Help Break Down Barriers to Learning

Discover new tools and materials to integrate into you instruction.

does assigning homework improve student achievement

Culture, Community, and Collaboration

does assigning homework improve student achievement

Vertical Progression of Math Strategies – Building Teacher Understanding

does assigning homework improve student achievement

“Can I have this? Can I have that?”

Find instructions and recommendations on how to adapt your existing materials to better align to college- and career-ready standards.

does assigning homework improve student achievement

To Teach the Truth

does assigning homework improve student achievement

Helping Our Students See Themselves and the World Through the Books They Read in Our Classrooms

does assigning homework improve student achievement

Textbooks: Who Needs Them?

Learn what it means for instructional materials and assessment to be aligned to college- and career-ready standards.

does assigning homework improve student achievement

Let’s Not Make Power ELA/Literacy Standards and Talk About Why We Didn’t

does assigning homework improve student achievement

What to Consider if You’re Adopting a New ELA/Literacy Curriculum

does assigning homework improve student achievement

Not Your Mom’s Professional Development

Delve into new research and perspectives on instructional materials and practice.

does assigning homework improve student achievement

Summer Reading Club 2023

does assigning homework improve student achievement

Synergy between College and Career Readiness Standards-Aligned Instruction and Culturally Relevant Pedagogy

does assigning homework improve student achievement

Children Should be Seen AND Heard

  • Submissions Guidelines
  • About the Blog

Designing Effective Homework

Best practices for creating homework that raises student achievement

Claire Rivero

Homework. It can be challenging…and not just for students. For teachers, designing homework can be a daunting task with lots of unanswered questions: How much should I assign? What type of content should I cover? Why aren’t students doing the work I assign? Homework can be a powerful opportunity to reinforce the Shifts in your instruction and promote standards-aligned learning, but how do we avoid the pitfalls that make key learning opportunities sources of stress and antipathy?

The nonprofit Instruction Partners recently set out to answer some of these questions, looking at what research says about what works when it comes to homework. You can view their original presentation here , but I’ve summarized some of the key findings you can put to use with your students immediately.

Does homework help?

Consistent homework completion has been shown to increase student achievement rates—but frequency matters. Students who are given homework regularly show greater gains than those who only receive homework sporadically. Researchers hypothesize that this is due to improved study skills and routines practiced through homework that allow students to perform better academically.

Average gains on unit tests for students who completed homework were six percentile points in grades 4–6, 12 percentile points in grades 7–9, and an impressive 24 percentile points in grades 10–12; so yes, homework (done well) does work. [i]

What should homework cover?

While there is little research about exactly what types of homework content lead to the biggest achievement gains, there are some general rules of thumb about how homework should change gradually over time.

In grades 1–5, homework should:

  • Reinforce and allow students to practice skills learned in the classroom
  • Help students develop good study habits and routines
  • Foster positive feelings about school

In grades 6–12, homework should:

  • Prepare students for engagement and discussion during the next lesson
  • Allow students to apply their skills in new and more challenging ways

The most often-heard criticism of homework assignments is that they simply take too long. So how much homework should you assign in order to see results for students? Not surprisingly, it varies by grade. Assign 10-20 minutes of homework per night total, starting in first grade, and then add 10 minutes for each additional grade. [ii] Doing more can result in student stress, frustration, and disengagement, particularly in the early grades.

Why are some students not doing the homework?

There are any number of reasons why students may not complete homework, from lack of motivation to lack of content knowledge, but one issue to watch out for as a teacher is the impact of economic disparities on the ability to complete homework.

Multiple studies [iii] have shown that low-income students complete homework less often than students who come from wealthier families. This can lead to increased achievement gaps between students. Students from low-income families may face additional challenges when it comes to completing homework such as lack of access to the internet, lack of access to outside tutors or assistance, and additional jobs or family responsibilities.

While you can’t erase these challenges for your students, you can design homework that takes those issues into account by creating homework that can be done offline, independently, and in a reasonable timeframe. With those design principles in mind, you increase the opportunity for all your students to complete and benefit from the homework you assign.

The Big Picture

Perhaps most importantly, students benefit from receiving feedback from you, their teacher, on their assignments. Praise or rewards simply for homework completion have little effect on student achievement, but feedback that helps them improve or reinforces strong performance does. Consider keeping this mini-table handy as you design homework:

The act of assigning homework doesn’t automatically raise student achievement, so be a critical consumer of the homework products that come as part of your curriculum. If they assign too much (or too little!) work or reflect some of these common pitfalls, take action to make assignments that better serve your students.

[i] Cooper, H. (2007). The battle over homework (3rd ed.). Thousand Oaks, CA: Corwin Press.

[ii] Cooper, H. (1989a). Homework .White Plains, NY: Longman.

[iii] Horrigan, T. (2015). The numbers behind the broadband ‘homework gap’ http://www.pewresearch.org/fact-tank/2015/04/20/the-numbers-behind-the-broadband-homework-gap/ and Miami Dade Public Schools. (2009). Literature Review: Homework. http://drs.dadeschools.net/LiteratureReviews/Homework.pdf

  • ELA / Literacy
  • Elementary School
  • High School
  • Mathematics
  • Middle School

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

About the Author: Claire Rivero is the Digital Strategy Manager for Student Achievement Partners. Claire leads the organization’s communications and digital promotion work across various channels including email, Facebook, Twitter, and Pinterest, always seeking new ways to reach educators. She also manages Achieve the Core’s blog, Aligned. Prior to joining Student Achievement Partners, Claire worked in the Communications department for the American Red Cross and as a literacy instructor in a London pilot program. Claire holds bachelor’s degrees in English and Public Policy from Duke University and a master’s degree in Social Policy (with a concentration on Education Policy) from the London School of Economics and Political Science.

Stay In Touch

Like what you’re reading? Sign up to receive emails about new posts, free resources, and advice from educators.

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

  • We're Hiring!
  • Help Center

paper cover thumbnail

Does Homework Improve Academic Achievement? A Synthesis of Research, 1987–2003

Profile image of Harris Cooper

2006, Review of Educational Research

In this article, research conducted in the United States since 1987 on the effects of homework is summarized. Studies are grouped into four research designs. The authors found that all studies, regardless of type, had design flaws. However, both within and across design types, there was generally consistent evidence for a positive influence of homework on achievement. Studies that reported simple homework–achievement correlations revealed evidence that a stronger correlation existed (a) in Grades 7–12 than in K–6 and (b) when students rather than parents reported time on homework. No strong evidence was found for an association between the homework–achievement link and the outcome measure (grades as opposed to standardized tests) or the subject matter (reading as opposed to math). On the basis of these results and others, the authors suggest future research.

Related Papers

Educational Testing Service

This paper identifies three noncognitive domains relevant for academic achievement in K-12—student engagement, behavioral learning strategies, and school climate. The paper also documents empirical findings that show relationships between these three noncognitive domains and academic achievement, especially in the areas of reading and mathematics. Key words: K-12, noncognitive, academic achievement, reading, mathematics

does assigning homework improve student achievement

Gastroentérologie Clinique et Biologique

Antal Molnár

Review of Educational Research

Journal of School Psychology

Joshua Langberg

e-Neuroforum

School Psychology Quarterly

Jodene Fine

maria hendriks

Saundra Nettles

American Educational Research Journal

Sabina Kleitman

Education Research International

Rim Razzouk

This paper reviews the research literature on the relationship between parental involvement (PI) and academic achievement, with special focus on the secondary school (middle and high school) level. The results first present how individual PI variables correlate with academic achievement and then move to more complex analyses of multiple variables on the general construct described in the literature. Several PI variables with correlations to academic achievement show promise: (a) communication between children and parents about school activities and plans, (b) parents holding high expectations/aspirations for their children&#39;s schooling, and (c) parents employing an authoritative parenting style. We end the results section by discussing the findings in light of the limitations of nonexperimental research and the different effects of children&#39;s versus parents&#39; perspectives on academic achievement.

RELATED PAPERS

Electronic Journal of Research in Education Psychology

shima mousavi

The Sociological Quarterly

Douglas Downey

Contemporary Educational Psychology

Bernhard Schmitz

Kathleen M Lynch

Proceedings of the 2001 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference. (Cat. No.01TH8568)

Aziz Benlarbi-delai

Journal of Clinical Child &amp; Adolescent Psychology

Timothy Wigal

Educational Measurement: Issues and Practice

Katie McClarty

Educational Research Review

Cem güzeller

Social Psychology of Education

Jim LIndsay

Harris Cooper

The High School Journal

Terrell L Strayhorn

Educational Research and Evaluation

Ruth Zuzovsky

Journal of Applied Developmental Psychology

Nachshon Meiran

Imane Radif

Michele Gill

Journal of Educational Psychology

Robyn Gibson

Journal of research on adolescence : the official journal of the Society for Research on Adolescence

Stacy Ewings

Angela Duckworth

Russell Rumberger

Lihul Anwar

Stephen Holt

British Educational …

Hanke Korpershoek

Journal of Educational Psychology (vol. 106, iss. 4, pp. 1049–1065)

Charles B Chang

Daniel Muñoz caro

Frontiers in Psychology

Amanda Cosgriff

Martha Boethel

Hefer Bembenutty

Online Submission

Benjamin Dalton

Elizabeth Glennie

Michael Nussbaum

Deaweh Benson

kassian nkwera

Samantha Hallman

Melaku Desalegn

RELATED TOPICS

  •   We're Hiring!
  •   Help Center
  • Find new research papers in:
  • Health Sciences
  • Earth Sciences
  • Cognitive Science
  • Mathematics
  • Computer Science
  • Academia ©2024

ORIGINAL RESEARCH article

Students' achievement and homework assignment strategies.

\r\nRubn Fernndez-Alonso,

  • 1 Department of Education Sciences, University of Oviedo, Oviedo, Spain
  • 2 Department of Education, Principality of Asturias Government, Oviedo, Spain
  • 3 Department of Psychology, University of Oviedo, Oviedo, Spain

The optimum time students should spend on homework has been widely researched although the results are far from unanimous. The main objective of this research is to analyze how homework assignment strategies in schools affect students' academic performance and the differences in students' time spent on homework. Participants were a representative sample of Spanish adolescents ( N = 26,543) with a mean age of 14.4 (±0.75), 49.7% girls. A test battery was used to measure academic performance in four subjects: Spanish, Mathematics, Science, and Citizenship. A questionnaire allowed the measurement of the indicators used for the description of homework and control variables. Two three-level hierarchical-linear models (student, school, autonomous community) were produced for each subject being evaluated. The relationship between academic results and homework time is negative at the individual level but positive at school level. An increase in the amount of homework a school assigns is associated with an increase in the differences in student time spent on homework. An optimum amount of homework is proposed which schools should assign to maximize gains in achievement for students overall.

The role of homework in academic achievement is an age-old debate ( Walberg et al., 1985 ) that has swung between times when it was thought to be a tool for improving a country's competitiveness and times when it was almost outlawed. So Cooper (2001) talks about the battle over homework and the debates and rows continue ( Walberg et al., 1985 , 1986 ; Barber, 1986 ). It is considered a complicated subject ( Corno, 1996 ), mysterious ( Trautwein and Köller, 2003 ), a chameleon ( Trautwein et al., 2009b ), or Janus-faced ( Flunger et al., 2015 ). One must agree with Cooper et al. (2006) that homework is a practice full of contradictions, where positive and negative effects coincide. As such, depending on our preferences, it is possible to find data which support the argument that homework benefits all students ( Cooper, 1989 ), or that it does not matter and should be abolished ( Barber, 1986 ). Equally, one might argue a compensatory effect as it favors students with more difficulties ( Epstein and Van Voorhis, 2001 ), or on the contrary, that it is a source of inequality as it specifically benefits those better placed on the social ladder ( Rømming, 2011 ). Furthermore, this issue has jumped over the school wall and entered the home, contributing to the polemic by becoming a common topic about which it is possible to have an opinion without being well informed, something that Goldstein (1960) warned of decades ago after reviewing almost 300 pieces of writing on the topic in Education Index and finding that only 6% were empirical studies.

The relationship between homework time and educational outcomes has traditionally been the most researched aspect ( Cooper, 1989 ; Cooper et al., 2006 ; Fan et al., 2017 ), although conclusions have evolved over time. The first experimental studies ( Paschal et al., 1984 ) worked from the hypothesis that time spent on homework was a reflection of an individual student's commitment and diligence and as such the relationship between time spent on homework and achievement should be positive. This was roughly the idea at the end of the twentieth century, when more positive effects had been found than negative ( Cooper, 1989 ), although it was also known that the relationship was not strictly linear ( Cooper and Valentine, 2001 ), and that its strength depended on the student's age- stronger in post-compulsory secondary education than in compulsory education and almost zero in primary education ( Cooper et al., 2012 ). With the turn of the century, hierarchical-linear models ran counter to this idea by showing that homework was a multilevel situation and the effect of homework on outcomes depended on classroom factors (e.g., frequency or amount of assigned homework) more than on an individual's attitude ( Trautwein and Köller, 2003 ). Research with a multilevel approach indicated that individual variations in time spent had little effect on academic results ( Farrow et al., 1999 ; De Jong et al., 2000 ; Dettmers et al., 2010 ; Murillo and Martínez-Garrido, 2013 ; Fernández-Alonso et al., 2014 ; Núñez et al., 2014 ; Servicio de Evaluación Educativa del Principado de Asturias, 2016 ) and that when statistically significant results were found, the effect was negative ( Trautwein, 2007 ; Trautwein et al., 2009b ; Lubbers et al., 2010 ; Chang et al., 2014 ). The reasons for this null or negative relationship lie in the fact that those variables which are positively associated with homework time are antagonistic when predicting academic performance. For example, some students may not need to spend much time on homework because they learn quickly and have good cognitive skills and previous knowledge ( Trautwein, 2007 ; Dettmers et al., 2010 ), or maybe because they are not very persistent in their work and do not finish homework tasks ( Flunger et al., 2015 ). Similarly, students may spend more time on homework because they have difficulties learning and concentrating, low expectations and motivation or because they need more direct help ( Trautwein et al., 2006 ), or maybe because they put in a lot of effort and take a lot of care with their work ( Flunger et al., 2015 ). Something similar happens with sociological variables such as gender: Girls spend more time on homework ( Gershenson and Holt, 2015 ) but, compared to boys, in standardized tests they have better results in reading and worse results in Science and Mathematics ( OECD, 2013a ).

On the other hand, thanks to multilevel studies, systematic effects on performance have been found when homework time is considered at the class or school level. De Jong et al. (2000) found that the number of assigned homework tasks in a year was positively and significantly related to results in mathematics. Equally, the volume or amount of homework (mean homework time for the group) and the frequency of homework assignment have positive effects on achievement. The data suggests that when frequency and volume are considered together, the former has more impact on results than the latter ( Trautwein et al., 2002 ; Trautwein, 2007 ). In fact, it has been estimated that in classrooms where homework is always assigned there are gains in mathematics and science of 20% of a standard deviation over those classrooms which sometimes assign homework ( Fernández-Alonso et al., 2015 ). Significant results have also been found in research which considered only homework volume at the classroom or school level. Dettmers et al. (2009) concluded that the school-level effect of homework is positive in the majority of participating countries in PISA 2003, and the OECD (2013b) , with data from PISA 2012, confirms that schools in which students have more weekly homework demonstrate better results once certain school and student-background variables are discounted. To put it briefly, homework has a multilevel nature ( Trautwein and Köller, 2003 ) in which the variables have different significance and effects according to the level of analysis, in this case a positive effect at class level, and a negative or null effect in most cases at the level of the individual. Furthermore, the fact that the clearest effects are seen at the classroom and school level highlights the role of homework policy in schools and teaching, over and above the time individual students spend on homework.

From this complex context, this current study aims to explore the relationships between the strategies schools use to assign homework and the consequences that has on students' academic performance and on the students' own homework strategies. There are two specific objectives, firstly, to systematically analyze the differential effect of time spent on homework on educational performance, both at school and individual level. We hypothesize a positive effect for homework time at school level, and a negative effect at the individual level. Secondly, the influence of homework quantity assigned by schools on the distribution of time spent by students on homework will be investigated. This will test the previously unexplored hypothesis that an increase in the amount of homework assigned by each school will create an increase in differences, both in time spent on homework by the students, and in academic results. Confirming this hypothesis would mean that an excessive amount of homework assigned by schools would penalize those students who for various reasons (pace of work, gaps in learning, difficulties concentrating, overexertion) need to spend more time completing their homework than their peers. In order to resolve this apparent paradox we will calculate the optimum volume of homework that schools should assign in order to benefit the largest number of students without contributing to an increase in differences, that is, without harming educational equity.

Participants

The population was defined as those students in year 8 of compulsory education in the academic year 2009/10 in Spain. In order to provide a representative sample, a stratified random sampling was carried out from the 19 autonomous regions in Spain. The sample was selected from each stratum according to a two-stage cluster design ( OECD, 2009 , 2011 , 2014a ; Ministerio de Educación, 2011 ). In the first stage, the primary units of the sample were the schools, which were selected with a probability proportional to the number of students in the 8th grade. The more 8th grade students in a given school, the higher the likelihood of the school being selected. In the second stage, 35 students were selected from each school through simple, systematic sampling. A detailed, step-by-step description of the sampling procedure may be found in OECD (2011) . The subsequent sample numbered 29,153 students from 933 schools. Some students were excluded due to lack of information (absences on the test day), or for having special educational needs. The baseline sample was finally made up of 26,543 students. The mean student age was 14.4 with a standard deviation of 0.75, rank of age from 13 to 16. Some 66.2% attended a state school; 49.7% were girls; 87.8% were Spanish nationals; 73.5% were in the school year appropriate to their age, the remaining 26.5% were at least 1 year behind in terms of their age.

Test application, marking, and data recording were contracted out via public tendering, and were carried out by qualified personnel unconnected to the schools. The evaluation, was performed on two consecutive days, each day having two 50 min sessions separated by a break. At the end of the second day the students completed a context questionnaire which included questions related to homework. The evaluation was carried out in compliance with current ethical standards in Spain. Families of the students selected to participate in the evaluation were informed about the study by the school administrations, and were able to choose whether those students would participate in the study or not.

Instruments

Tests of academic performance.

The performance test battery consisted of 342 items evaluating four subjects: Spanish (106 items), mathematics (73 items), science (78), and citizenship (85). The items, completed on paper, were in various formats and were subject to binary scoring, except 21 items which were coded on a polytomous scale, between 0 and 2 points ( Ministerio de Educación, 2011 ). As a single student is not capable of answering the complete item pool in the time given, the items were distributed across various booklets following a matrix design ( Fernández-Alonso and Muñiz, 2011 ). The mean Cronbach α for the booklets ranged from 0.72 (mathematics) to 0.89 (Spanish). Student scores were calculated adjusting the bank of items to Rasch's IRT model using the ConQuest 2.0 program ( Wu et al., 2007 ) and were expressed in a scale with mean and standard deviation of 500 and 100 points respectively. The student's scores were divided into five categories, estimated using the plausible values method. In large scale assessments this method is better at recovering the true population parameters (e.g., mean, standard deviation) than estimates of scores using methods of maximum likelihood or expected a-posteriori estimations ( Mislevy et al., 1992 ; OECD, 2009 ; von Davier et al., 2009 ).

Homework Variables

A questionnaire was made up of a mix of items which allowed the calculation of the indicators used for the description of homework variables. Daily minutes spent on homework was calculated from a multiple choice question with the following options: (a) Generally I don't have homework; (b) 1 h or less; (c) Between 1 and 2 h; (d) Between 2 and 3 h; (e) More than 3 h. The options were recoded as follows: (a) = 0 min.; (b) = 45 min.; (c) = 90 min.; (d) = 150 min.; (e) = 210 min. According to Trautwein and Köller (2003) the average homework time of the students in a school could be regarded as a good proxy for the amount of homework assigned by the teacher. So the mean of this variable for each school was used as an estimator of Amount or volume of homework assigned .

Control Variables

Four variables were included to describe sociological factors about the students, three were binary: Gender (1 = female ); Nationality (1 = Spanish; 0 = other ); School type (1 = state school; 0 = private ). The fourth variable was Socioeconomic and cultural index (SECI), which is constructed with information about family qualifications and professions, along with the availability of various material and cultural resources at home. It is expressed in standardized points, N(0,1) . Three variables were used to gather educational history: Appropriate School Year (1 = being in the school year appropriate to their age ; 0 = repeated a school year) . The other two adjustment variables were Academic Expectations and Motivation which were included for two reasons: they are both closely connected to academic achievement ( Suárez-Álvarez et al., 2014 ). Their position as adjustment factors is justified because, in an ex-post facto descriptive design such as this, both expectations and motivation may be thought of as background variables that the student brings with them on the day of the test. Academic expectations for finishing education was measured with a multiple-choice item where the score corresponds to the years spent in education in order to reach that level of qualification: compulsory secondary education (10 points); further secondary education (12 points); non-university higher education (14 points); University qualification (16 points). Motivation was constructed from the answers to six four-point Likert items, where 1 means strongly disagree with the sentence and 4 means strongly agree. Students scoring highly in this variable are agreeing with statements such as “at school I learn useful and interesting things.” A Confirmatory Factor Analysis was performed using a Maximum Likelihood robust estimation method (MLMV) and the items fit an essentially unidimensional scale: CFI = 0.954; TLI = 0.915; SRMR = 0.037; RMSEA = 0.087 (90% CI = 0.084–0.091).

As this was an official evaluation, the tests used were created by experts in the various fields, contracted by the Spanish Ministry of Education in collaboration with the regional education authorities.

Data Analyses

Firstly the descriptive statistics and Pearson correlations between the variables were calculated. Then, using the HLM 6.03 program ( Raudenbush et al., 2004 ), two three-level hierarchical-linear models (student, school, autonomous community) were produced for each subject being evaluated: a null model (without predictor variables) and a random intercept model in which adjustment variables and homework variables were introduced at the same time. Given that HLM does not return standardized coefficients, all of the variables were standardized around the general mean, which allows the interpretation of the results as classical standardized regression analysis coefficients. Levels 2 and 3 variables were constructed from means of standardized level 1 variables and were not re-standardized. Level 1 variables were introduced without centering except for four cases: study time, motivation, expectation, and socioeconomic and cultural level which were centered on the school mean to control composition effects ( Xu and Wu, 2013 ) and estimate the effect of differences in homework time among the students within the same school. The range of missing variable cases was very small, between 1 and 3%. Recovery was carried out using the procedure described in Fernández-Alonso et al. (2012) .

The results are presented in two ways: the tables show standardized coefficients while in the figures the data are presented in a real scale, taking advantage of the fact that a scale with a 100 point standard deviation allows the expression of the effect of the variables and the differences between groups as percentage increases in standardized points.

Table 1 shows the descriptive statistics and the matrix of correlations between the study variables. As can be seen in the table, the relationship between the variables turned out to be in the expected direction, with the closest correlations between the different academic performance scores and socioeconomic level, appropriate school year, and student expectations. The nationality variable gave the highest asymmetry and kurtosis, which was to be expected as the majority of the sample are Spanish.

www.frontiersin.org

Table 1. Descriptive statistics and Pearson correlation matrix between the variables .

Table 2 shows the distribution of variance in the null model. In the four subjects taken together, 85% of the variance was found at the student level, 10% was variance between schools, and 5% variance between regions. Although the 10% of variance between schools could seem modest, underlying that there were large differences. For example, in Spanish the 95% plausible value range for the school means ranged between 577 and 439 points, practically 1.5 standard deviations, which shows that schools have a significant impact on student results.

www.frontiersin.org

Table 2. Distribution of the variance in the null model .

Table 3 gives the standardized coefficients of the independent variables of the four multilevel models, as well as the percentage of variance explained by each level.

www.frontiersin.org

Table 3. Multilevel models for prediction of achievement in four subjects .

The results indicated that the adjustment variables behaved satisfactorily, with enough control to analyze the net effects of the homework variables. This was backed up by two results, firstly, the two variables with highest standardized coefficients were those related to educational history: academic expectations at the time of the test, and being in the school year corresponding to age. Motivation demonstrated a smaller effect but one which was significant in all cases. Secondly, the adjustment variables explained the majority of the variance in the results. The percentages of total explained variance in Table 2 were calculated with all variables. However, if the strategy had been to introduce the adjustment variables first and then add in the homework variables, the explanatory gain in the second model would have been about 2% in each subject.

The amount of homework turned out to be positively and significantly associated with the results in the four subjects. In a 100 point scale of standard deviation, controlling for other variables, it was estimated that for each 10 min added to the daily volume of homework, schools would achieve between 4.1 and 4.8 points more in each subject, with the exception of mathematics where the increase would be around 2.5 points. In other words, an increase of between 15 and 29 points in the school mean is predicted for each additional hour of homework volume of the school as a whole. This school level gain, however, would only occur if the students spent exactly the same time on homework as their school mean. As the regression coefficient of student homework time is negative and the variable is centered on the level of the school, the model predicts deterioration in results for those students who spend more time than their class mean on homework, and an improvement for those who finish their homework more quickly than the mean of their classmates.

Furthermore, the results demonstrated a positive association between the amount of homework assigned in a school and the differences in time needed by the students to complete their homework. Figure 1 shows the relationship between volume of homework (expressed as mean daily minutes of homework by school) and the differences in time spent by students (expressed as the standard deviation from the mean school daily minutes). The correlation between the variables was 0.69 and the regression gradient indicates that schools which assigned 60 min of homework per day had a standard deviation in time spent by students on homework of approximately 25 min, whereas in those schools assigning 120 min of homework, the standard deviation was twice as long, and was over 50 min. So schools which assigned more homework also tended to demonstrate greater differences in the time students need to spend on that homework.

www.frontiersin.org

Figure 1. Relationship between school homework volume and differences in time needed by students to complete homework .

Figure 2 shows the effect on results in mathematics of the combination of homework time, homework amount, and the variance of homework time associated with the amount of homework assigned in two types of schools: in type 1 schools the amount of homework assigned is 1 h, and in type 2 schools the amount of homework 2 h. The result in mathematics was used as a dependent variable because, as previously noted, it was the subject where the effect was smallest and as such is the most conservative prediction. With other subjects the results might be even clearer.

www.frontiersin.org

Figure 2. Prediction of results for quick and slow students according to school homework size .

Looking at the first standard deviation of student homework time shown in the first graph, it was estimated that in type 1 schools, which assign 1 h of daily homework, a quick student (one who finishes their homework before 85% of their classmates) would spend a little over half an hour (35 min), whereas the slower student, who spends more time than 85% of classmates, would need almost an hour and a half of work each day (85 min). In type 2 schools, where the homework amount is 2 h a day, the differences increase from just over an hour (65 min for a quick student) to almost 3 h (175 min for a slow student). Figure 2 shows how the differences in performance would vary within a school between the more and lesser able students according to amount of homework assigned. In type 1 schools, with 1 h of homework per day, the difference in achievement between quick and slow students would be around 5% of a standard deviation, while in schools assigning 2 h per day the difference would be 12%. On the other hand, the slow student in a type 2 school would score 6 points more than the quick student in a type 1 school. However, to achieve this, the slow student in a type 2 school would need to spend five times as much time on homework in a week (20.4 weekly hours rather than 4.1). It seems like a lot of work for such a small gain.

Discussion and Conclusions

The data in this study reaffirm the multilevel nature of homework ( Trautwein and Köller, 2003 ) and support this study's first hypothesis: the amount of homework (mean daily minutes the student spends on homework) is positively associated with academic results, whereas the time students spent on homework considered individually is negatively associated with academic results. These findings are in line with previous research, which indicate that school-level variables, such as amount of homework assigned, have more explanatory power than individual variables such as time spent ( De Jong et al., 2000 ; Dettmers et al., 2010 ; Scheerens et al., 2013 ; Fernández-Alonso et al., 2015 ). In this case it was found that for each additional hour of homework assigned by a school, a gain of 25% of a standard deviation is expected in all subjects except mathematics, where the gain is around 15%. On the basis of this evidence, common sense would dictate the conclusion that frequent and abundant homework assignment may be one way to improve school efficiency.

However, as noted previously, the relationship between homework and achievement is paradoxical- appearances are deceptive and first conclusions are not always confirmed. Analysis demonstrates another two complementary pieces of data which, read together, raise questions about the previous conclusion. In the first place, time spent on homework at the individual level was found to have a negative effect on achievement, which confirms the findings of other multilevel-approach research ( Trautwein, 2007 ; Trautwein et al., 2009b ; Chang et al., 2014 ; Fernández-Alonso et al., 2016 ). Furthermore, it was found that an increase in assigned homework volume is associated with an increase in the differences in time students need to complete it. Taken together, the conclusion is that, schools with more homework tend to exhibit more variation in student achievement. These results seem to confirm our second hypothesis, as a positive covariation was found between the amount of homework in a school (the mean homework time by school) and the increase in differences within the school, both in student homework time and in the academic results themselves. The data seem to be in line with those who argue that homework is a source of inequity because it affects those less academically-advantaged students and students with greater limitations in their home environments ( Kohn, 2006 ; Rømming, 2011 ; OECD, 2013b ).

This new data has clear implications for educational action and school homework policies, especially in compulsory education. If quality compulsory education is that which offers the best results for the largest number ( Barber and Mourshed, 2007 ; Mourshed et al., 2010 ), then assigning an excessive volume of homework at those school levels could accentuate differences, affecting students who are slower, have more gaps in their knowledge, or are less privileged, and can make them feel overwhelmed by the amount of homework assigned to them ( Martinez, 2011 ; OECD, 2014b ; Suárez et al., 2016 ). The data show that in a school with 60 min of assigned homework, a quick student will need just 4 h a week to finish their homework, whereas a slow student will spend 10 h a week, 2.5 times longer, with the additional aggravation of scoring one twentieth of a standard deviation below their quicker classmates. And in a school assigning 120 min of homework per day, a quick student will need 7.5 h per week whereas a slow student will have to triple this time (20 h per week) to achieve a result one eighth worse, that is, more time for a relatively worse result.

It might be argued that the differences are not very large, as between 1 and 2 h of assigned homework, the level of inequality increases 7% on a standardized scale. But this percentage increase has been estimated after statistically, or artificially, accounting for sociological and psychological student factors and other variables at school and region level. The adjustment variables influence both achievement and time spent on homework, so it is likely that in a real classroom situation the differences estimated here might be even larger. This is especially important in comprehensive education systems, like the Spanish ( Eurydice, 2015 ), in which the classroom groups are extremely heterogeneous, with a variety of students in the same class in terms of ability, interest, and motivation, in which the aforementioned variables may operate more strongly.

The results of this research must be interpreted bearing in mind a number of limitations. The most significant limitation in the research design is the lack of a measure of previous achievement, whether an ad hoc test ( Murillo and Martínez-Garrido, 2013 ) or school grades ( Núñez et al., 2014 ), which would allow adjustment of the data. In an attempt to alleviate this, our research has placed special emphasis on the construction of variables which would work to exclude academic history from the model. The use of the repetition of school year variable was unavoidable because Spain has one of the highest levels of repetition in the European Union ( Eurydice, 2011 ) and repeating students achieve worse academic results ( Ministerio de Educación, 2011 ). Similarly, the expectation and motivation variables were included in the group of adjustment factors assuming that in this research they could be considered background variables. In this way, once the background factors are discounted, the homework variables explain 2% of the total variance, which is similar to estimations from other multilevel studies ( De Jong et al., 2000 ; Trautwein, 2007 ; Dettmers et al., 2009 ; Fernández-Alonso et al., 2016 ). On the other hand, the statistical models used to analyze the data are correlational, and as such, one can only speak of an association between variables and not of directionality or causality in the analysis. As Trautwein and Lüdtke (2009) noted, the word “effect” must be understood as “predictive effect.” In other words, it is possible to say that the amount of homework is connected to performance; however, it is not possible to say in which direction the association runs. Another aspect to be borne in mind is that the homework time measures are generic -not segregated by subject- when it its understood that time spent and homework behavior are not consistent across all subjects ( Trautwein et al., 2006 ; Trautwein and Lüdtke, 2007 ). Nonetheless, when the dependent variable is academic results it has been found that the relationship between homework time and achievement is relatively stable across all subjects ( Lubbers et al., 2010 ; Chang et al., 2014 ) which leads us to believe that the results given here would have changed very little even if the homework-related variables had been separated by subject.

Future lines of research should be aimed toward the creation of comprehensive models which incorporate a holistic vision of homework. It must be recognized that not all of the time spent on homework by a student is time well spent ( Valle et al., 2015 ). In addition, research has demonstrated the importance of other variables related to student behavior such as rate of completion, the homework environment, organization, and task management, autonomy, parenting styles, effort, and the use of study techniques ( Zimmerman and Kitsantas, 2005 ; Xu, 2008 , 2013 ; Kitsantas and Zimmerman, 2009 ; Kitsantas et al., 2011 ; Ramdass and Zimmerman, 2011 ; Bembenutty and White, 2013 ; Xu and Wu, 2013 ; Xu et al., 2014 ; Rosário et al., 2015a ; Osorio and González-Cámara, 2016 ; Valle et al., 2016 ), as well as the role of expectation, value given to the task, and personality traits ( Lubbers et al., 2010 ; Goetz et al., 2012 ; Pedrosa et al., 2016 ). Along the same lines, research has also indicated other important variables related to teacher homework policies, such as reasons for assignment, control and feedback, assignment characteristics, and the adaptation of tasks to the students' level of learning ( Trautwein et al., 2009a ; Dettmers et al., 2010 ; Patall et al., 2010 ; Buijs and Admiraal, 2013 ; Murillo and Martínez-Garrido, 2013 ; Rosário et al., 2015b ). All of these should be considered in a comprehensive model of homework.

In short, the data seem to indicate that in year 8 of compulsory education, 60–70 min of homework a day is a recommendation that, slightly more optimistically than Cooper's (2001) “10 min rule,” gives a reasonable gain for the whole school, without exaggerating differences or harming students with greater learning difficulties or who work more slowly, and is in line with other available evidence ( Fernández-Alonso et al., 2015 ). These results have significant implications when it comes to setting educational policy in schools, sending a clear message to head teachers, teachers and those responsible for education. The results of this research show that assigning large volumes of homework increases inequality between students in pursuit of minimal gains in achievement for those who least need it. Therefore, in terms of school efficiency, and with the aim of improving equity in schools it is recommended that educational policies be established which optimize all students' achievement.

Ethics Statement

This study was carried out in accordance with the recommendations of the University of Oviedo with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the University of Oviedo.

Author Contributions

RF and JM have designed the research; RF and JS have analyzed the data; MA and JM have interpreted the data; RF, MA, and JS have drafted the paper; JM has revised it critically; all authors have provided final approval of the version to be published and have ensured the accuracy and integrity of the work.

This research was funded by the Ministerio de Economía y Competitividad del Gobierno de España. References: PSI2014-56114-P, BES2012-053488. We would like to express our utmost gratitude to the Ministerio de Educación Cultura y Deporte del Gobierno de España and to the Consejería de Educación y Cultura del Gobierno del Principado de Asturias, without whose collaboration this research would not have been possible.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Barber, B. (1986). Homework does not belong on the agenda for educational reform. Educ. Leadersh. 43, 55–57.

Google Scholar

Barber, M., and Mourshed, M. (2007). How the World's Best-Performing School Systems Come Out on Top. McKinsey and Company . Available online at: http://mckinseyonsociety.com/downloads/reports/Education/Worlds_School_Systems_Final.pdf (Accessed January 25, 2016).

Bembenutty, H., and White, M. C. (2013). Academic performance and satisfaction with homework completion among college students. Learn. Individ. Differ. 24, 83–88. doi: 10.1016/j.lindif.2012.10.013

CrossRef Full Text | Google Scholar

Buijs, M., and Admiraal, W. (2013). Homework assignments to enhance student engagement in secondary education. Eur. J. Psychol. Educ. 28, 767–779. doi: 10.1007/s10212-012-0139-0

Chang, C. B., Wall, D., Tare, M., Golonka, E., and Vatz, K. (2014). Relations of attitudes toward homework and time spent on homework to course outcomes: the case of foreign language learning. J. Educ. Psychol. 106, 1049–1065. doi: 10.1037/a0036497

Cooper, H. (1989). Synthesis of research on homework. Educ. Leadersh. 47, 85–91.

Cooper, H. (2001). The Battle Over Homework: Common Ground for Administrators, Teachers, and Parents . Thousand Oaks, CA: Sage.

Cooper, H., Robinson, J. C., and Patall, E. A. (2006). Does homework improve academic achievement? A synthesis of research, 1987-2003. Rev. Educ. Res. 76, 1–62. doi: 10.3102/00346543076001001

Cooper, H., Steenbergen-Hu, S., and Dent, A. L. (2012). “Homework,” in APA Educational Psychology Handbook , Vol. 3: Application to Learning and Teaching , eds K. R. Harris, S. Graham, and T. Urdan (Washington, DC: American Psychological Association), 475–495.

Cooper, H., and Valentine, J. C. (2001). Using research to answer practical questions about homework. Educ. Psychol. 36, 143–153. doi: 10.1207/S15326985EP3603_1

Corno, L. (1996). Homework is a complicated thing. Educ. Res. 25, 27–30. doi: 10.3102/0013189X025008027

De Jong, R., Westerhof, K. J., and Creemers, B. P. M. (2000). Homework and student math achievement in junior high schools. Educ. Res. Eval. 6, 130–157. doi: 10.1076/1380-3611(200006)6:2;1-E;F130

Dettmers, S., Trautwein, U., Lüdtke, M., Kunter, M., and Baumert, J. (2010). Homework works if homework quality is high: using multilevel modeling to predict the development of achievement in mathematics. J. Educ. Psychol. 102, 467–482. doi: 10.1037/a0018453

Dettmers, S., Trautwein, U., and Lüdtke, O. (2009). The relationship between homework time and achievement is not universal: evidence from multilevel analyses in 40 countries. Sch. Eff. Sch. Improv. 20, 375–405. doi: 10.1080/09243450902904601

Epstein, J. L., and Van Voorhis, F. L. (2001). More than minutes: teachers' roles in designing homework. Educ. Psychol. 36, 181–193. doi: 10.1207/S15326985EP3603_4

Eurydice (2015). The Structure of the European Education Systems 2015/16: Schematic Diagrams. Luxembourg: Publications Office of the European Union . Available online at: https://webgate.ec.europa.eu/fpfis/mwikis/eurydice/index.php/Publications:The_Structure_of_the_European_Education_Systems_2015/16:_Schematic_Diagrams (Accessed January 25, 2016).

Eurydice (2011). Grade Retention during Compulsory Education in Europe: Regulations and Statistics . Luxembourg: Publications Office of the European Union.

Fan, H., Xu, J., Cai, Z., He, J., and Fan, X. (2017). Homework and students' achievement in math and science: a 30-year meta-analysis, 1986-2015. Educ. Res. Rev. 20, 35–54. doi: 10.1016/j.edurev.2016.11.003

Farrow, S., Tymms, P., and Henderson, B. (1999). Homework and attainment in primary schools. Br. Educ. Res. J. 25, 323–341. doi: 10.1080/0141192990250304

Fernández-Alonso, R., and Muñiz, J. (2011). Diseños de cuadernillos para la evaluación de competencias b1sicas. Aula Abierta 39, 3–34.

Fernández-Alonso, R., Suárez-Álvarez, J., and Muñiz, J. (2012). Imputación de datos perdidos en las evaluaciones diagnósticas educativas. [Imputation methods for missing data in educational diagnostic evaluation]. Psicothema 24, 167–175.

Fernández-Alonso, R., Suárez-Álvarez, J., and Muñiz, J. (2014). Tareas escolares en el hogar y rendimiento en matemáticas: una aproximación multinivel con estudiantes de enseñanza primaria. [Homework and academic performance in mathematics: A multilevel approach with primary school student]. Rev. Psicol. Educ. 9, 15–30.

Fernández-Alonso, R., Suárez-Álvarez, J., and Muñiz, J. (2015). Adolescents' homework performance in mathematics and science: personal factors and teaching practices. J. Educ. Psychol. 107, 1075–1085. doi: 10.1037/edu0000032

Fernández-Alonso, R., Suárez-Álvarez, J., and Muñiz, J. (2016). Homework and performance in mathematics: the role of the teacher, the family and the student's background. Rev. Psicod. 21, 5–23. doi: 10.1387/RevPsicodidact.13939

CrossRef Full Text

Flunger, B., Trautwein, U., Nagengast, B., Lüdtke, O., Niggli, A., and Schnyder, I. (2015). The Janus-faced nature of time spent on homework: using latent profile analyses to predict academic achievement over a school year. Lear. Instr. 39, 97–106. doi: 10.1016/j.learninstruc.2015.05.008

Gershenson, S., and Holt, S. B. (2015). Gender gaps in high school students' homework time. Educ. Res. 44, 432–441. doi: 10.3102/0013189X15616123

Goetz, T., Nett, U. E., Martiny, S. E., Hall, N. C., Pekrun, R., Dettmers, S., et al. (2012). Students' emotions during homework: structures, self-concept antecedents, and achievement outcomes. Learn. Individ. Differ. 22, 225–234. doi: 10.1016/j.lindif.2011.04.006

Goldstein, A. (1960). Does homework help? A review of research. Elementary Sch. J. 60, 212–224. doi: 10.1086/459804

Kitsantas, A., Cheema, J., and Ware, H. (2011). The role of homework support resources, time spent on homework, and self-efficacy beliefs in mathematics achievement. J. Adv. Acad. 22, 312–341. doi: 10.1177/1932202X1102200206

Kitsantas, A., and Zimmerman, B. J. (2009). College students homework and academic achievement: the mediating role of self-regulatory beliefs. Metacognition Learn. 4, 1556–1623. doi: 10.1007/s11409-008-9028-y

Kohn, A. (2006). Abusing research: the study of homework and other examples. Phi Delta Kappan 88, 9–22. doi: 10.1177/003172170608800105

Lubbers, M. J., Van Der Werf, M. P. C., Kuyper, H., and Hendriks, A. A. J. (2010). Does homework behavior mediate the relation between personality and academic performance? Learn. Individ. Differ. 20, 203–208. doi: 10.1016/j.lindif.2010.01.005

Martinez, S. (2011). An examination of Latino students' homework routines. J. Latinos Educ. 10, 354–368. doi: 10.1080/15348431.2011.605688

Mislevy, R. J., Beaton, A. E., Kaplan, B., and Sheehan, K. M. (1992). Estimating population characteristics from sparse matrix samples of item responses. J. Educ. Meas. 29, 133–161. doi: 10.1111/j.1745-3984.1992.tb00371.x

Ministerio de Educación (2011). Evaluación General de Diagnóstico 2010. Educación Secundaria Obligatoria. Informe de Resultados . Madrid: Instituto de Evaluación. Available online at: http://www.mecd.gob.es/dctm/ievaluacion/informe-egd-2010.pdf?documentId=0901e72b80d5ad3e (Accessed January 25, 2016).

Mourshed, M., Chijioke, C., and Barber, M. (2010). How the World's Most Improved School Systems Keep Getting Better. McKinsey and Company . Available online at: http://mckinseyonsociety.com/downloads/reports/Education/How-the-Worlds-Most-Improved-School-Systems-Keep-Getting-Better_Download-version_Final.pdf (Accessed January 25, 2016).

Murillo, F. J., and Martínez-Garrido, C. (2013). Homework influence on academic performance. A study of iberoamerican students of primary education. J. Psychodidactics 18, 157–171. doi: 10.1387/RevPsicodidact.6156

Núñez, J. C., Vallejo, G., Rosário, P., Tuero, E., and Valle, A. (2014). Student, teacher, and school context variables predicting academic achievement in biology: analysis from a multilevel perspective. J. Psychodidactics 19, 145–171. doi: 10.1387/RevPsicodidact.7127

OECD (2009). PISA Data Analysis Manual: SPSS, 2nd Edn . Paris: OECD Publishing.

OECD (2011). School Sampling Preparation Manual. PISA 2012 Main Survey. Paris: OECD Publishing. Available online at: https://www.oecd.org/pisa/pisaproducts/PISA2012MS-SamplingGuidelines-.pdf (Accessed January 6, 2017).

OECD (2013a). PISA 2012 Results: What Students Know and Can Do. Student Performance in Mathematics, Reading and Science (Volume I) . Paris: OECD Publishing.

OECD (2013b). PISA 2012 Results: What Makes Schools Successful? Resources, Policies and Practices (Volume IV). Paris: OECD Publishing.

OECD (2014a). PISA 2012 Technical Report. Paris: OECD Publishing. Available online at: http://www.oecd.org/pisa/pisaproducts/PISA-2012-technical-report-final.pdf (Accessed January 25, 2016).

OECD (2014b). Does Homework Perpetuate Inequities in Education? PISA in Focus . Paris: OECD Publishing.

Osorio, A., and González-Cámara, M. (2016). Testing the alleged superiority of the indulgent parenting style among Spanish adolescents. Psicothema 28, 414–420. doi: 10.7334/psicothema2015.314

PubMed Abstract | CrossRef Full Text | Google Scholar

Paschal, R. A., Weinstein, T., and Walberg, H. J. (1984). The effects of homework on learning: a quantitative synthesis. J. Educ. Res. 78, 97–104. doi: 10.1080/00220671.1984.10885581

Patall, E. A., Cooper, H., and Wynn, S. R. (2010). The effectiveness and relative importance of providing choices in the classroom. J. Educ. Psychol. 102, 896–915. doi: 10.1037/a0019545

Pedrosa, I., Suárez-Álvarez, J., García-Cueto, E., and Muñiz, J. (2016). A computerized adaptive test for enterprising personality assessment in youth. Psicothema 28, 471–478. doi: 10.7334/psicothema2016.68

Ramdass, D., and Zimmerman, B. J. (2011). Developing self-regulation skills: the important role of homework. J. Adv. Acad. 22, 194–218. doi: 10.1177/1932202X1102200202

Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., and Congdon, R. T. (2004). HLM6: Hierarchical Linear and Nonlinear Modeling . Chicago: Scientific Software International.

Rømming, M. (2011). Who benefits from homework assignments? Econ. Educ. Rev. 30, 55–64. doi: 10.1016/j.econedurev.2010.07.001

Rosário, P., Núñez, J. C., Vallejo, G., Cunha, J., Nunes, T., Mourão, R., et al. (2015a). Does homework design matter? The role of homework's purpose in student mathematics achievement. Contemp. Educ. Psychol. 43, 10–24. doi: 10.1016/j.cedpsych.2015.08.001

Rosário, P., Núñez, J. C., Vallejo, G., Cunha, J., Nunes, T., Suárez, N., et al. (2015b). The effects of teachers' homework follow-up practices on students' EFL performance: a randomized-group design. Front. Psychol. 6:1528. doi: 10.3389/fpsyg.2015.01528

Servicio de Evaluación Educativa del Principado de Asturias (2016). La relación entre el tiempo de deberes y los resultados académicos [The Relationship between Homework Time and Academic Performance]. Informes de Evaluación, 1 . Oviedo: Consejería de Educación y Cultura del Gobierno del Principado de Asturias.

Scheerens, J., Hendriks, M., Luyten, H., Sleegers, P., and Cees, G. (2013). Productive Time in Education. A Review of the Effectiveness of Teaching Time at School, Homework and Extended Time Outside School Hours. Enschede: University of Twente . Available online at: http://doc.utwente.nl/86371/ (Accessed January 25, 2016).

Suárez-Álvarez, J., Fernández-Alonso, R., and Muñiz, J. (2014). Self-concept, motivation, expectations and socioeconomic level as predictors of academic performance in mathematics. Learn. Indiv. Diff. 30, 118–123. doi: 10.1016/j.lindif.2013.10.019

Suárez, N., Regueiro, B., Epstein, J. L., Piñeiro, I., Díaz, S. M., and Valle, A. (2016). Homework involvement and academic achievement of native and immigrant students. Front. Psychol. 7:1517. doi: 10.3389/fpsyg.2016.01517

Trautwein, U. (2007). The homework–achievement relation reconsidered: differentiating homework time, homework frequency, and homework effort. Learn. Instr. 17, 372–388. doi: 10.1016/j.learninstruc.2007.02.009

Trautwein, U., and Köller, O. (2003). The relationship between homework and achievement: still much of a mystery. Educ. Psychol. Rev. 15, 115–145. doi: 10.1023/A:1023460414243

Trautwein, U., Köller, O., Schmitz, B., and Baumert, J. (2002). Do homework assignments enhance achievement? A multilevel analysis in 7th grade mathematics. Contemp. Educ. Psychol. 27, 26–50. doi: 10.1006/ceps.2001.1084

Trautwein, U., Lüdtke, O., Schnyder, I., and Niggli, A. (2006). Predicting homework effort: support for a domain-specific, multilevel homework model. J. Educ. Psychol. 98, 438–456. doi: 10.1037/0022-0663.98.2.438

Trautwein, U., and Lüdtke, O. (2007). Students' self-reported effort and time on homework in six school subjects: between-student differences and within-student variation. J. Educ. Psychol. 99, 432–444. doi: 10.1037/0022-0663.99.2.432

Trautwein, U., and Lüdtke, O. (2009). Predicting homework motivation and homework effort in six school subjects: the role of person and family characteristics, classroom factors, and school track. Learn. Instr. 19, 243–258. doi: 10.1016/j.learninstruc.2008.05.001

Trautwein, U., Niggli, A., Schnyder, I., and Lüdtke, O. (2009a). Between-teacher differences in homework assignments and the development of students' homework effort, homework emotions, and achievement. J. Educ. Psychol. 101, 176–189. doi: 10.1037/0022-0663.101.1.176

Trautwein, U., Schnyder, I., Niggli, A., Neumann, M., and Lüdtke, O. (2009b). Chameleon effects in homework research: the homework–achievement association depends on the measures used and the level of analysis chosen. Contemp. Educ. Psychol. 34, 77–88. doi: 10.1016/j.cedpsych.2008.09.001

Valle, A., Pan, I., Regueiro, B., Suárez, N., Tuero, E., and Nunes, A. R. (2015). Predicting approach to homework in primary school students. Psicothema 27, 334–340. doi: 10.7334/psicothema2015.118

Valle, A., Regueiro, B., Núñez, J. C., Rodríguez, S., Piñero, I., and Rosário, P. (2016). Academic goals, student homework engagement, and academic achievement in elementary school. Front. Psychol. 7:463. doi: 10.3389/fpsyg.2016.00463

von Davier, M., Gonzalez, E., and Mislevy, R. J. (2009). What are Plausible Values and Why are They Useful?. IERI Monograph Series. Issues and Methodologies in Large-Scale Assessments. Available online at: http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_02.pdf (Accessed January 15, 2017).

Walberg, H. J., Paschal, R. A., and Weinstein, T. (1985). Homework's powerful effects on learning. Educ. Leadersh. 42, 76–79.

Walberg, H. J., Paschal, R. A., and Weinstein, T. (1986). Walberg and colleagues reply: effective schools use homework effectively. Educ. Leadersh. 43, 58.

Wu, M. L., Adams, R. J., Wilson, M. R., and Haldane, S. A. (2007). ACER ConQuest 2.0: Generalised Item Response Modelling Software . Camberwell, VIC: Australian Council for Educational Research.

Xu, J. (2008). Models of secondary school students' interest in homework: a multilevel analysis. Am. Educ. Res. J. 45, 1180–1205. doi: 10.3102/0002831208323276

Xu, J. (2013). Why do students have difficulties completing homework? The need for homework management. J. Educ. Train. Stud. 1, 98–105. doi: 10.11114/jets.v1i1.78

Xu, J., and Wu, H. (2013). Self-regulation of homework behavior: homework management at the secondary school level. J. Educ. Res. 106, 1–13. doi: 10.1080/00220671.2012.658457

Xu, J., Yuan, R., Xu, B., and Xu, M. (2014). Modeling students' time management in math homework. Learn. Individ. Differ. 34, 33–42. doi: 10.1016/j.lindif.2014.05.011

Zimmerman, B. J., and Kitsantas, A. (2005). Homework practices and academic achievement: the mediating role of self-efficacy and perceived responsibility beliefs. Contemp. Educ. Psychol. 30, 397–417. doi: 10.1016/j.cedpsych.2005.05.003

Keywords: homework time, equity, compulsory secondary education, hierarchical modeling, adolescents

Citation: Fernández-Alonso R, Álvarez-Díaz M, Suárez-Álvarez J and Muñiz J (2017) Students' Achievement and Homework Assignment Strategies. Front. Psychol . 8:286. doi: 10.3389/fpsyg.2017.00286

Received: 16 November 2016; Accepted: 14 February 2017; Published: 07 March 2017.

Reviewed by:

Copyright © 2017 Fernández-Alonso, Álvarez-Díaz, Suárez-Álvarez and Muñiz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Javier Suárez-Álvarez, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

COMMENTS

  1. Does Homework Improve Academic Achievement?

    Beyond achievement, proponents of homework argue that it can have many other beneficial effects. They claim it can help students develop good study habits so they are ready to grow as their cognitive capacities mature. It can help students recognize that learning can occur at home as well as at school. Homework can foster independent learning ...

  2. Students' Achievement and Homework Assignment Strategies

    An increase in the amount of homework a school assigns is associated with an increase in the differences in student time spent on homework. An optimum amount of homework is proposed which schools should assign to maximize gains in achievement for students overall.

  3. PDF Does Homework Really Improve Achievement? Kevin C. Costley, Ph.D ...

    In-school supervised study had a greater impact on achievement than homework, and achievement did not increase when students spent more time on homework (Cooper, 1994). Cooper cautions that this finding does not mean that elementary school students should not receive homework. Rather, parents should not expect homework to affect achievement. At the

  4. Does Homework Really Help Students Learn?

    Yes, and the stories we hear of kids being stressed out from too much homework—four or five hours of homework a night—are real. That's problematic for physical and mental health and overall well-being. But the research shows that higher-income students get a lot more homework than lower-income kids.

  5. Key Lessons: What Research Says About the Value of Homework

    Homework has been in the headlines again recently and continues to be a topic of controversy, with claims that students and families are suffering under the burden of huge amounts of homework. School board members, educators, and parents may wish to turn to the research for answers to their questions about the benefits and drawbacks of homework.

  6. Does homework still have value? A Johns Hopkins education expert weighs

    This leads, statistically, to results showing that doing homework or spending more minutes on homework is linked to higher student achievement. If slow or struggling students are not doing their assignments, they contribute to—or cause—this "result." Teachers need to design homework that even struggling students want to do because it is ...

  7. Students' achievement and homework assignment strategies.

    An increase in the amount of homework a school assigns is associated with an increase in the differences in student time spent on homework. An optimum amount of homework is proposed which schools should assign to maximize gains in achievement for students overall.

  8. Does Homework Improve Academic Achievement? A Synthesis of Research

    HARRIS COOPER is a Professor of Psychology and Director of the Program in Education, Box 90739, Duke University, Durham, NC 27708-0739; e-mail [email protected] His research interests include how academic activities outside the school day (such as homework, after school programs, and summer school) affect the achievement of children and adolescents; he also studies techniques for improving ...

  9. Does Homework Improve Academic Achievement? A Synthesis of Research

    Finstad (1987) studied the effect of homework on mathematics achievement for 39 second-grade students in two intact classrooms. One unit, on place values to 100, was used, but neither the frequency nor the duration of assignments was reported. One classroom was assigned to do homework and the other not.

  10. Duke Study: Homework Helps Students Succeed in School, As Long as There

    Does Homework Improve Academic Achievement? In an op-ed, Harris Cooper writes about avoiding assigning too much or too little homework to students. Read. Cooper is the lead author; Jorgianne Civey Robinson, a Ph.D. student in psychology, and Erika Patall, a graduate student in psychology, are co-authors.

  11. Academic Goals, Student Homework Engagement, and Academic Achievement

    Introduction. Literature indicates that doing homework regularly is positively associated with students' academic achievement (Zimmerman and Kitsantas, 2005).Hence, as expected, the amount of homework done is one of the variables that shows a strong and positive relationship with academic achievement (Cooper et al., 2001). It seems consensual in the literature that doing homework is always ...

  12. Does high school homework increase academic achievement?

    1. Cooper, Robinson, and Patall (Citation 2006) provide a nice overview of the effects of homework on academic achievement in the education, psychology, and sociology literatures.In general, small positive effects have been found. More recently, using 1990 data from NELS and 2002 data from the Education Longitudinal Study, Maltese, Tai, and Fan (Citation 2012) found no effect of math and ...

  13. [PDF] Does Homework Improve Academic Achievement? A Synthesis of

    In this article, research conducted in the United States since 1987 on the effects of homework is summarized. Studies are grouped into four research designs. The authors found that all studies, regardless of type, had design flaws. However, both within and across design types, there was generally consistent evidence for a positive influence of homework on achievement. Studies that reported ...

  14. PDF Does Homework Improve Academic Achievement? A Synthesis of Research

    Homework assignments are influenced by more factors than any other instruc-tional strategy. Student differences may play a major role because homework allows students considerable discretion about whether, when, and how to complete assign-ments. Teachers may structure and monitor homework in a multitude of ways.

  15. Designing Effective Homework

    Reinforce and allow students to practice skills learned in the classroom. Help students develop good study habits and routines. Foster positive feelings about school. In grades 6-12, homework should: Reinforce and allow students to practice skills learned in the classroom. Prepare students for engagement and discussion during the next lesson.

  16. Does homework design matter? The role of homework's purpose in student

    Despite the relationship between homework behaviors and students' academic achievement, assigning more homework does not lead to better homework performance when teachers do not consider ... (e.g., promoting problem solving skills) is beneficial for improving students' achievement in mathematics. Our data complement that of Zhu and Leung (2012 ...

  17. (PDF) Does Homework Improve Academic Achievement? A Synthesis of

    However, both within and across design types, there was generally consistent evidence for a positive influence of homework on achievement. Studies that reported simple homework-achievement correlations revealed evidence that a stronger correlation existed (a) in Grades 7-12 than in K-6 and (b) when students rather than parents reported ...

  18. Students' Achievement and Homework Assignment Strategies

    An increase in the amount of homework a school assigns is associated with an increase in the differences in student time spent on homework. An optimum amount of homework is proposed which schools should assign to maximize gains in achievement for students overall.

  19. ATA

    Elementary (K-7) Students. Research suggests that, with two exceptions, homework for elementary children is not beneficial and does not boost achievement levels. The first exception is in the case of a student who is struggling to complete classroom tasks. The second is when students are preparing for a test.

  20. Does Homework Really Improve Achievement

    Views on the Homework Given in Science Courses. Fatma Taşkin Ekici. Education. 2014. Homework is a significant part of teaching and learning process. For this reason, teachers use it constantly as tools of teaching process. The effect of homework on students' achievement and…. Expand. 8.

  21. Does homework design matter? The role of homework's purpose in student

    The effectiveness of homework on improving student academic achievement depends on several factors; for example, feedback provided by the teacher (i.e. grading) and student engagement are ... Assigning homework to students make they are learning more effective and they comprehend the assigned task in depth by applying drill and practice ...