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学习时间分配对中学生学业成绩有何意义:基于2018年国际学生评估项目(PISA)的中国证据

How Learning Time Allocation Make Sense on Secondary School Students' Academic Performance: A Chinese Evidence Based on PISA 2018.

作者信息

Liu Ang, Wei Yuguang, Xiu Qi, Yao Hao, Liu Jia

机构信息

Faculty of Education, East China Normal University, Shanghai 200062, China.

School of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001, China.

出版信息

Behav Sci (Basel). 2023 Mar 8;13(3):237. doi: 10.3390/bs13030237.

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.

摘要

众所周知,合理分配学习时间对于提高学生的学业成绩尤为重要。基于2018年国际学生评估项目(PISA)的数据,本研究采用门槛回归和分位数回归方法,探索促进学生学业成绩的最佳学习时间长度。同时,本研究还探讨了学习时间对不同学业水平学生影响的异质性。结果表明,对于中国的四个省市,包括北京、上海、江苏和浙江,农村地区和私立学校的学生通常比城市和公立学校的学生学习时间更长。此外,研究表明学校质量与学生学习时间之间没有显著关联。这四个中国省市学生的平均学习时间明显长于经合组织国家的学生。此外,研究发现学习时间对各学科成绩的影响呈倒U形,在数学、科学和阅读相关学科的学习中可以找到最佳学习时间。至于学习时间的影响,结果表明,学习时间投入对学业成绩较差的学生更有效。同时,本研究发现学生的过度学习时间与学生的主观幸福感和对学习活动的态度之间存在关系。非认知因素会逐渐影响学生的学业成绩。根据本研究结果,建议学生需要根据适当的学习时间标准平衡他们的学习时间分配。此外,学校应该为不同学业成绩水平的学生采用不同的学习时间分配方案。教师还应该坚持更科学地设计学生的课后作业,教师和家长也应该注重提高学生的学习效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10045325/30076d3ce5e3/behavsci-13-00237-g001.jpg

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