How much is too much time spent on homework: an exploratory study based on a Bayesian multilevel piecewise model with a random change point
EDUCATIONAL STUDIES(2023)
摘要
In this study, we applied multilevel piecewise linear regression with a random-effects model under a Bayesian estimation framework to a total of 5,072 7th grade students in 35 schools to search for an optimum time in terms of the effect of homework time on student academic achievement. First, we found a nonlinear relationship between time spent on homework and student academic achievement. Second, we found an optimum duration of homework with two rather distinguishing phenomena of patterns while controlling only student socioeconomic status (SES) and gender. The optimum time spent on homework is 1.77 hours. However, after further controlling students' prior academic achievement, the optimum time disappeared. We discuss possible explanations for the disappearance of the optimum time and the implications for further research directions.
更多查看译文
关键词
Multilevel piecewise model, homework, optimum time, Bayesian estimation, academic achievement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要