Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises

Understanding how students’ online homework behaviors relate to their academic success is increasingly important, especially in elementary education where such research is still emerging. In this study, we examined three years of online homework data from fourth-grade students enrolled in an after-s...

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Main Authors: Oksana Ilina, Sona Antonyan, Maria Kosogorova, Anna Mirny, Jenya Brodskaia, Manasi Singhal, Pavel Belakurski, Shreya Iyer, Brandon Ni, Ranai Shah, Milind Sharma, Larry Ludlow
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Education Sciences
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Online Access:https://www.mdpi.com/2227-7102/15/6/753
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author Oksana Ilina
Sona Antonyan
Maria Kosogorova
Anna Mirny
Jenya Brodskaia
Manasi Singhal
Pavel Belakurski
Shreya Iyer
Brandon Ni
Ranai Shah
Milind Sharma
Larry Ludlow
author_facet Oksana Ilina
Sona Antonyan
Maria Kosogorova
Anna Mirny
Jenya Brodskaia
Manasi Singhal
Pavel Belakurski
Shreya Iyer
Brandon Ni
Ranai Shah
Milind Sharma
Larry Ludlow
author_sort Oksana Ilina
collection DOAJ
description Understanding how students’ online homework behaviors relate to their academic success is increasingly important, especially in elementary education where such research is still emerging. In this study, we examined three years of online homework data from fourth-grade students enrolled in an after-school math program. Our goal was to see whether certain behaviors—like how soon students started their homework, how many times they tried to solve problems, or whether they uploaded their written work—could help explain differences in homework completion and test performance. We used multiple regression analyses and found that some habits, such as beginning homework soon after class and regularly attending lessons, were consistently linked to better homework scores across all curriculum levels. Test performance, however, was harder to predict and showed fewer consistent patterns. These findings suggest that teaching and encouraging specific online study behaviors may help support younger students’ academic growth in digital learning environments.
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spelling doaj-art-8965ecae359b4e8a992bd521cb360b262025-08-20T03:27:26ZengMDPI AGEducation Sciences2227-71022025-06-0115675310.3390/educsci15060753Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework ExercisesOksana Ilina0Sona Antonyan1Maria Kosogorova2Anna Mirny3Jenya Brodskaia4Manasi Singhal5Pavel Belakurski6Shreya Iyer7Brandon Ni8Ranai Shah9Milind Sharma10Larry Ludlow11 Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USA Russian School of Mathematics, Newton, MA 02459, USASchool of Education and Human Development, Boston College, Chestnut Hill, MA 02467, USAUnderstanding how students’ online homework behaviors relate to their academic success is increasingly important, especially in elementary education where such research is still emerging. In this study, we examined three years of online homework data from fourth-grade students enrolled in an after-school math program. Our goal was to see whether certain behaviors—like how soon students started their homework, how many times they tried to solve problems, or whether they uploaded their written work—could help explain differences in homework completion and test performance. We used multiple regression analyses and found that some habits, such as beginning homework soon after class and regularly attending lessons, were consistently linked to better homework scores across all curriculum levels. Test performance, however, was harder to predict and showed fewer consistent patterns. These findings suggest that teaching and encouraging specific online study behaviors may help support younger students’ academic growth in digital learning environments.https://www.mdpi.com/2227-7102/15/6/753student learning behaviorsonline process datamath homeworkeducational data mining
spellingShingle Oksana Ilina
Sona Antonyan
Maria Kosogorova
Anna Mirny
Jenya Brodskaia
Manasi Singhal
Pavel Belakurski
Shreya Iyer
Brandon Ni
Ranai Shah
Milind Sharma
Larry Ludlow
Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
Education Sciences
student learning behaviors
online process data
math homework
educational data mining
title Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
title_full Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
title_fullStr Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
title_full_unstemmed Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
title_short Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises
title_sort understanding fourth grade student achievement using process data from student s web based online math homework exercises
topic student learning behaviors
online process data
math homework
educational data mining
url https://www.mdpi.com/2227-7102/15/6/753
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