Relationship between homework time and academic and non‐academic performance in China: A preliminary test of the nonlinear hypothesis-Reference-Cited by-同舟云学术

Relationship between homework time and academic and non‐academic performance in China: A preliminary test of the nonlinear hypothesis

Published:2023-10-28 Issue: Volume: Page:
ISSN:0141-1926
Container-title:British Educational Research Journal
language:en
Short-container-title:British Educational Res J

Author:

Shao Yueyang¹^ORCID,Liu Hongyun²,Zhao Pingping³,Liu Qimeng¹,Liu Jian¹⁴

Affiliation:

1. Collaborative Innovation Center of Assessment for Basic Education Quality Beijing Normal University Beijing China

2. Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology Beijing Normal University Beijing China

3. College of Education for the Future Beijing Normal University at Zhuhai Zhuhai China

4. China Education Innovation Institute Beijing Normal University Zhuhai China

Abstract

AbstractInspired by complex system theory, this study adopts a multilevel piecewise regression model to examine the relationship between homework time and the development of students in different grades using a large‐scale testing database in China. The results indicate that the relationship between homework time and students’ performance is positive when homework time is less than the cut‐off values and becomes negative when homework time is greater than the cut‐off values. For different dependent variables, the cut‐off values of homework time differ but are all within a range (1–1.2 h for grade 4 and 1.7–2 h for grade 8). The reasons for the difference in cut‐off values among students in different grades are discussed.

Publisher

Wiley

Subject

Education

Reference73 articles.

1. Agasisti T. Avvisati F. Borgonovi F. &Longobardi S.(2018).Academic resilience: What schools and countries do to help disadvantaged students succeed in PISA. OECD Education Working Papers No. 167. Retrieved November 4 2022 fromhttps://www.oecd‐ilibrary.org/education/academic‐resilience_e22490ac‐en

2. Aguirre D.(2020).Too much homework. (Master's thesis California State University Monterey Bay). Retrieved November 4 2022 fromhttps://digitalcommons.csumb.edu/caps_thes_all/864

3. Blazer C.(2009).Homework. Literature review.Research services Miami‐Dade County public schools. Retrieved November 4 2022 fromhttp://www.centerforpubliceducation.org

4. Multimodel inference: Understanding AIC and BIC in model selection;Burnham K. P.;Sociological Methods & Research,2004

5. The researchers ate the homework;Cameron L.;Education Canada,2009