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Published Apr 30, 2022

Haisheng Song

Haiping Xue  

Abstract

We use the Hierarchical Linear Model to analyze the current state of extracurricular tutoring time for secondary school students and its impact on academic performance using PISA2015 data from four provincial administrative regions in China. The study discovered that the effect of extracurricular tutoring time on academic performance is a non-linear relationship that initially declines and then increases, indicating that subject-specific tutoring has a threshold effect. When tutoring time exceeds a certain threshold, academic performance improves qualitatively. However, when mathematics tutoring time exceeds a certain threshold, the gap in mathematics scores between students from different family backgrounds widens, resulting in educational inequality. The effect of school curriculum time on student achievement is a non-linear relationship that begins with an increase and then declines. When compared to off-campus tutoring time, in-school curriculum time can more effectively improve student academic performance.

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Keywords

Extracurricular Tutoring Time, Student Academic Performance, Educational Equity, Hierarchical Linear Models

References
Bray, M. (1999). The shadow education system: Private tutoring and its implication for planners. UNESCO International Institute for Educational Planning (IIEP). ISBN: 9280311875. pp.11.

Byun, S. Y. (2014). Shadow education and academic success in Republic of Korea. In Education in the Asia-Pacific Region (pp. 39-58). Education in the Asia-Pacific Region, Vol. 23. Springer Nature. DOI: https://doi.org/10.1007/978-981-4451-27-7_3

Fang, C., Hu, Y., & Zhang, P. (2018). Can pupils of primary schools benefit from the study time after class. Journal of Educational Science of Hunan Normal University, 17(1):69-77. [Chinese]. DOI: https://doi.org/10.19503/j.cnki.1671-6124.2018.01.011

Hao, Y. (2016). A study on the relationship between extracurricular tutoring and junior high school students’ academic performance in mathematics. Shanghai Research on Education, 2016(1):50-52+56. [Chinese] DOI: https://doi.org/10.16194/j.cnki.31-1059/g4.2016.01.014

Hu, Y., Fan, W., & Ding, W. (2015). Does shadow education aggravate inequality in educational outcomes? An empirical study on PISA2012 data of Shanghai. Peking University Education Review, 13(3):29-46+188. [Chinese] DOI: https://doi.org/10.19355/j.cnki.1671-9468.2015.03.004

Hu, Y., Fan, W., & Ding, W. (2017). Does shadow education enlarge the inequality of educational outcomes? An empirical study based on PISA 2012 data from China, Japan, and Korea. China Economics of Education Review, 2017, 2(5):43-71. [Chinese]. DOI: https://doi.org/10.19512/j.cnki.issn2096-2088.2017.05.004

Lee, J. Y. (2013). Private tutoring and its impact on student academic achievement, formal schooling, and educational inequality in Korea. Ph.D. diss., Columbia University. DOI: https://doi.org/10.7916/D8K64R8K

Li, J., Hu, Y., & Fan, W. (2016). Family background, shadow education and student achievement: Based on empirical research of Wisconsin model. China Economics of Education Review, 2016(1):70-89. [Chinese] DOI: https://doi.org/10.19512/j.cnki.issn2096-2088.2016.01.010

Liu, J. (2012). Does cram schooling matter? who goes to cram schools? evidence from Taiwan. International Journal of Educational Development, 32(1):6-52. DOI: https://doi.org/10.1016/j.ijedudev.2011.01.014

Lucas, S. R. (2001). Effectively maintained inequality: Education transitions, track mobility, and social background effects. American Journal of Sociology, 106(6):1642-1690. DOI: https://doi.org/10.1086/321300

Ma, H., & Zheng, P. (2017). Time allocation for learning after class and the rewards: Education input-output interpretation. Journal of Schooling Studies, 2017(3):86-95. [Chinese] Available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=ZHJY201703013&DbName=CJFQ2017

Raftery, A. E. & Hout, M. (1993). Maximally maintained inequality: Expansion, reform, and opportunity in Irish education, 1921-75. Sociology of Education, 1993, 66(1):41-62. DOI: https://doi.org/10.2307/2112784

Shen, X. (2014). Research on Shanghai secondary school students’ optimal learning time based on PISA data. Research in Educational Development, 33(4):9-14. [Chinese]. DOI: https://doi.org/10.14121/j.cnki.1008-3855.2014.04.014

Song, H. & Xue, H. (2017). Extracurricular tutoring time, student achievements and social reproduction. Forum on Contemporary Education, 2017(5):51-62. [Chinese]. DOI: https://doi.org/10.13694/j.cnki.ddjylt.2017.05.007.

Xue, H. (2016). Extracurricular tuition, academic performance, and social reproduction. Education and Economy, 32(2):32-43. [Chinese]. Available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=JYJI201602005&DbName=CJFQ2016

Xue, H., Hu, Y., & Duan, P. (2011). An empirical research on the influencing factors of students’ science competence in Chinese senior high school. Education Science, 27(5):68-78. [Chinese]. Available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=JYKO201105014&DbName=CJFQ2011

Xue, H. & Li, J. (2016). Family capital, shadow education, and social reproduction. China Economics of Education Review, 1(4):60-81. [Chinese]. DOI: https://doi.org/10.19512/j.cnki.issn2096-2088.2016.04.004

Xue, H. & Song, H. (2018). An empirical study on the effects of extracurricular tutoring time on middle school student achievements: Based on PISA 2012 Shanghai data. Educational Science Research, 2018(4):55-60. [Chinese]. Available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=JYKY201804013&DbName=CJFQ2018

Yang, D. (2018). The Characteristics and Governance of the New Round of Educational Industrialization. Tsinghua Journal of Education, 39(1):35-38. [Chinese]. DOI: https://doi.org/10.14138/j.1001-4519.2018.01.003504

Zhang, Y., Chen, D., & Liu, J. (2015). The effect of private tutoring in primary education on the academic development in the middle school: a longitudinal study in x middle school in Beijing. Research In Educational Development, Z2(35):18-25. [Chinese]. DOI: https://doi.org/10.14121/j.cnki.1008-3855.2015.z2.004

Zhou, H. & Wu, X. (2008). Educational results of migrant children and influencing factors: Based on analysis of hierarchical linear model. Population Research, 2008(4):22-32. [Chinese]. Available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=RKYZ200804003&DbName=CJFQ2008
How to Cite
Song, H., & Xue, H. (2022). The Impact of Extracurricular Tutoring Time Investment on Academic Performance of Secondary School Students: An Empirical Analysis Based on PISA2015 Data of Four Provincial Administrative Regions in China. Science Insights Education Frontiers, 11(2), 1551–1565. https://doi.org/10.15354/sief.22.or052
Section
Original Article