ArticleBehavioral sciences (Basel, Switzerland)2023
How Learning Time Allocation Make Sense on Secondary School Students' Academic Performance: A Chinese Evidence Based on PISA 2018.
Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 20 citations in OpenAlex.
- Toward a decent learning theory: a structural-psychological framework for understanding students' appraisals of learning.Frontiers in psychology · 2026Article
- Bullying victimization and depressive symptoms among left-behind children: a moderated mediation model involving Internet Addiction.Frontiers in psychiatry · 2026Article
- School-based management: Catalyzing stakeholder engagement for enhanced educational quality in Bekasi.Journal of education and health promotion · 2026Article
- Adolescents' time-use and academic attainment: A longitudinal, compositional analysis in the Millennium Cohort Study.PloS one · 2026Article
- Sleep duration and subject-specific academic performance among adolescents in China.NPJ science of learning · 2025Article
- Educational improvement through machine learning: Strategic models for better PISA scores.PloS one · 2025Article
- Longitudinal relationship between oppositional defiant disorder symptoms and attention-deficit/hyperactivity disorder symptoms in Chinese children: insights from cross-lagged panel network analyses.European child & adolescent psychiatry · 2024Article
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5 authors at 4 institutions in 1 country.
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Abstract
It is well known that the proper allocation of learning time is particularly important for promoting students' academic performance. Based on the data from PISA 2018, this research used the method of threshold regression and quantile regression to explore the optimal length of learning time to promote the students' academic performance. At the same time, this research also explored the heterogeneity of the effect of learning time on different academic levels of students. The results show that for four Chinese provinces and cities, including Beijing, Shanghai, Jiangsu province and Zhejiang province, students who study in rural areas and private schools usually have longer learning time than students in cities and public schools. Moreover, it is suggested that there is no significant association between school quality and students' learning time. The average learning time of students from the four Chinese cities and provinces is obviously longer than that in OECD countries. Moreover, it is found that the impact of learning time on academic performance across subjects is inverted U-shaped, and the optimal study time can be found in the learning of mathematics, science, and reading related subjects. As for the effect of learning time, the results showed that learning time commitment is more effective for students who are academically disadvantaged. At the same time, this study found that there is a relationship between students' excessive learning time and students' subjective well-being and attitudes toward learning activities. The non-cognitive factors can influence students' academic performance gradually. According to the results of this research, it is suggested that students need to balance their learning time allocation against the appropriate learning time standards. Moreover, schools should adopt different learning time allocation schemes for students at different academic achievement levels. The teachers also should uphold a more scientific design of students' after-school homework, and teachers and parents should also focus on improving students' learning efficiency.
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