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Hao Zhou; Jian Liu; Yueyang Shao; Tian Yanyan – Educational Studies, 2025
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…
Descriptors: Foreign Countries, Grade 7, Homework, Time on Task
Jianzhong Xu – European Journal of Psychology of Education, 2024
The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…
Descriptors: Homework, Hierarchical Linear Modeling, Predictor Variables, Middle School Students
Xu, Jianzhong – European Journal of Psychology of Education, 2021
Whereas it is often a challenge to keep students motivated and interested in academic tasks, it is more of a challenge to have students stay motivated and interested in academic tasks outside school during nonschool hours--homework. Prior research, however, has largely overlooked the reasons or purposes students have for doing homework and their…
Descriptors: Homework, Goal Orientation, Student Interests, Mathematics Achievement
Zhai, Xuesong; Gu, Jibao; Liu, Hefu; Liang, Jyh-Chong; Tsai, Chin-Chung – Educational Technology & Society, 2017
Recent years have witnessed an increasing interest in the flipped classroom model, and many flipped programs have been funded and implemented to explore the effectiveness of this new model. However, previous studies centering on comparative assessment have indicated that it is not always entirely successful in terms of promoting students'…
Descriptors: Blended Learning, Technology Uses in Education, Educational Technology, Homework

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