Skip to main content
Log in

Is private supplementary tutoring effective? A longitudinally detailed analysis of private tutoring quality in China

  • Published:
Asia Pacific Education Review Aims and scope Submit manuscript

Abstract

In general, private supplementary tutoring is considered an effective means of improving academic achievement by parents. However, previous studies have produced partial or inconclusive results regarding its effectiveness. Thus, the present study conducted a comprehensive analysis based on a specially designed longitudinal survey of private supplementary mathematics tutoring among middle school students in China. The hierarchical linear analysis did not show a considerably significant positive effect of regular private tutoring, even when such tutoring continued throughout the summer vacation and school semester. The data also allowed a deeper inquiry into the role of the quality, quantity, and applicability of private tutoring. In addition, the heterogeneous effect of private supplementary tutoring across students with different mathematics achievement levels was explored, with possible explanations including the different learning styles of students from different groups, the ceiling effect of the testing tool, and the different learning needs of different groups of students. These results suggest that parents should carefully select private tutoring for their children, and that the government should provide more comprehensive professional guidelines to regulate the industry.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Given the concerns about endogeneity and instrumental variables analysis, an instrumental analysis was conducted that used two rubrics for the survey items: “My classmates or friends participate in PT, so I choose to participate in PT”; and “Few classmates or friends participate in PT, so I choose not to participate in PT.” The results (not reported here, but available upon request) showed that the findings of the instrumental variable method were roughly the same as those of the hierarchical linear model.

References

  • Baker, D. P., Akiba, M., Letendre, G. K., & Wiseman, A. W. (2001). Worldwide shadow education: Outside-school learning, institutional quality of schooling, and cross–national mathematics achievement. Educational Evaluation and Policy Analysis, 23(1), 1–17.

    Google Scholar 

  • Bray, M. (2009). Confronting the shadow education system: What government policies for what private tutoring?. Paris: UNESCO International Institute for Educational Planning.

    Google Scholar 

  • Bray, M. (2014). The impact of shadow education on student academic achievement: Why the research is inconclusive and what can be done about it. Asia Pacific Education Review, 15(3), 381–389.

    Google Scholar 

  • Bray, M., Kobakhidze, M. N., & Suter, L. E. (2020). The challenges of measuring outside–school–time educational activities: Experiences and lessons from the Programme for International Student Assessment (PISA). Comparative Education Review. https://doi.org/10.1086/706776.

    Article  Google Scholar 

  • Bray, M., & Lykins, C. (2012). Shadow education: Private supplementary tutoring and its implications for policy makers in Asia. Pok Fu Lam: Asian Development Bank Comparative Education Research Centre (CERC), Faculty of Education, The University of Hong Kong.

    Google Scholar 

  • Byun, S. Y. (2014). Shadow education and academic success in South Korea. In H. Park & K. Kim (Eds.), Korean education in changing economic and demographic contexts (pp. 39–58). Dordrecht: Springer.

    Google Scholar 

  • Byun, S. Y., Chung, H. J., & Baker, D. P. (2018). Global patterns of the use of shadow education: Student, family, and national influences. In H. Park & G. Kao (Eds.), Research in the sociology of education (Vol. 20, pp. 71–105). Bingley: Emerald Publishing Limited.

    Google Scholar 

  • Campbell, R. J., Kyriakides, L., Muijs, R. D., & Robinson, W. (2003). Differential teacher effectiveness: Towards a model for research and teacher appraisal. Oxford Review of Education, 29(3), 347–362.

    Google Scholar 

  • Carroll, J. B. (1963). A model of school learning. Teacher College Record, 64, 723–733.

    Google Scholar 

  • Chappell, S., Nunnery, J., Pribesh, S., & Hager, J. (2011). A meta-analysis of supplemental educational services (SES) provider effects on student achievement. Journal of Education for Students Placed at Risk, 16(1), 1–23.

    Google Scholar 

  • Chen, X., & Li, Y. (2010). Instructional coherence in Chinese mathematics classroom—A case study of lessons on fraction division. International Journal of Science and Mathematics Education, 8(4), 711–735.

    Google Scholar 

  • Chi, M. T. H., Siler, S. A., & Jeong, H. (2004). Can tutors monitor students’ understanding accurately? Cognition & Instruction, 22(3), 363–387.

    Google Scholar 

  • Choi, Y., & Park, H. (2016). Shadow education and educational inequality in South Korea: Examining effect heterogeneity of shadow education on middle school seniors’ achievement test scores. Research in Social Stratification and Mobility, 44, 22–32.

    Google Scholar 

  • Chu, H. C., Chen, J. M., & Tsai, C. L. (2017). Effects of an online formative peer-tutoring approach on students’ learning behaviors, performance and cognitive load in mathematics. Interactive Learning Environments, 25(2), 203–219.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillsdale, NJ: Laurence Erlbaum Associates.

    Google Scholar 

  • Cole, R. (2016). Estimating the impact of private tutoring on academic performance: Primary students in Sri Lanka. Education Economics, 25(2), 142–157.

    Google Scholar 

  • Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological), 39(1), 1–22.

    Google Scholar 

  • Dunkin, M., & Biddle, B. (1974). The study of teaching. New York: Holt, Rhinehart & Winston.

    Google Scholar 

  • Fernandez, C., Yoshida, M., & Stigle, J. (1992). Learning mathematics from classroom instruction: On relating lessons to pupils’ interpretations. The Journal of the Learning Sciences, 2, 333–365.

    Google Scholar 

  • Firpo, S., Fortin, N. M., & Lemieux, T. (2009). Unconditional quantile regressions. Econometrica, 77(3), 953–973.

    Google Scholar 

  • Fredricks, J. A. (2012). Extracurricular participation and academic outcomes: Testing the over–scheduling hypothesis. Journal of Youth and Adolescence, 41(3), 295–306.

    Google Scholar 

  • Guill, K., Ludtke, O., & Koller, O. (2019). Assessing the instructional quality of private tutoring and its effects on student outcomes: Analyses from the German National Educational Panel Study. British Journal of Educational Psychology. https://doi.org/10.1111/bjep.12281.

    Article  Google Scholar 

  • Herppich, S., Wittwer, J., Nückles, M., & Renkl, A. (2013). Does it make a difference? Investigating the assessment accuracy of teacher tutors and student tutors. The Journal of Experimental Education, 81(2), 242–260.

    Google Scholar 

  • Hu, Y., Fan, W., & Ding, W. (2015). Does shadow education aggravate inequality of educational outcomes? An empirical study on PISA2012 Shanghai data. Peking University Education Review, 13(3), 29–46,188.

  • Koenker, R., & Bassett, G., Jr. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33–50.

    Google Scholar 

  • Kuan, P. Y. (2011). Effects of cram schooling on mathematics performance: Evidence from junior high students in Taiwan. Comparative Education Review, 55(3), 342–368.

    Google Scholar 

  • Lee, J. Y. (2013). Private Tutoring and Its Impact on Students’ Academic Achievement, Formal Schooling and Educational Inequality in Korea. (Unpublished doctoral dissertation). Columbia University, New York, USA.

  • Leech, N. L., Barrett, K. C., & Morgan, G. A. (2014). IBM SPSS for intermediate statistics: Use and interpretation. Abingdon: Routledge.

    Google Scholar 

  • Leung, F. K. S. (2001). In search of an East Asian identity in mathematics education. Educational Studies in Mathematics, 47(1), 35–51.

    Google Scholar 

  • Liang, Y. (2014). Teachers’ perceptions on the potential impact of shadow education. Renmin University of China Education Journal, 4, 89–99.

    Google Scholar 

  • Liu, J. (2012). Does cram schooling matter? Who goes to cram schools? Evidence from Taiwan. International Journal of Educational Development, 32(1), 46–52.

    Google Scholar 

  • Meyer, E., & Van Klaveren, C. (2013). The effectiveness of extended day programs: Evidence from a randomized field experiment in the Netherlands. Economics of Education Review, 36, 1–11.

    Google Scholar 

  • Mullis, I. V. S., Martin, M. O., Gonzalez, E. J., & Chrostowski, S. J. (2004). Findings from IEA’s trends in international mathematics and science study at the fourth and eighth grades. Chestnut Hill: TIMSS & PIRLS International Study Center, Boston College. Mullis, I. V. S.

    Google Scholar 

  • National Center of Education Quality. (2018). National report on Chinese Compulsory Education. http://www.moe.gov.cn/jyb_xwfb/gzdt_gzdt/s5987/201807/t20180724_343663.html.

  • Ömeroğulları, M., Guill, K., & Köller, O. (2020). Effectiveness of private tutoring during secondary schooling in Germany: Do the duration of private tutoring and tutor qualification affect school achievement? Learning and Instruction, 66, 101306.

    Google Scholar 

  • Park, H., Buchmann, C., Choi, J., & Merry, J. J. (2016). Learning beyond the school walls: Trends and implications. Annual Review of Sociology, 42(1), 231–252.

    Google Scholar 

  • Smyth, E. (2009). Buying your way into college? Private tuition and the transition to higher education in Ireland. Oxford Review of Education, 35(1), 1–22.

    Google Scholar 

  • Stein, K. M., Grover, W. B., & Henningsen, M. (1996). Building student capacity for mathematical thinking and reasoning: An analysis of mathematical tasks used in reform classrooms. American Educational Research Journal Summer, 33(2), 455–488.

    Google Scholar 

  • Todd, P. E., & Wolpin, K. I. (2003). On the specification and estimation of the production function for cognitive achievement. The Economic Journal, 113, 3–33.

    Google Scholar 

  • Wang, L., & Cao, Y. (2014). Literature review of mathematics teacher effect on student achievement. Journal of Mathematics Education, 23(3), 48–52.

    Google Scholar 

  • Wang, L., & Guo, K. (2017). Shadow education of mathematics in China. In Y. Cao & F. K. S. Leung (Eds.), The 21st century mathematics education in China (pp. 93–103). New York: Springer.

    Google Scholar 

  • Wang, J., & Lin, E. (2005). Comparative studies on U.S. and Chinese mathematics learning and the implications for standards–based mathematics teaching reform. Educational Researcher, 34(5), 3–13.

    Google Scholar 

  • Wang, L., Cao, Y., & Guo, K. (2018). A research on mathematics teachers’ effect on students’ achievement. Teacher Education Research, 30(1), 87–94.

    Google Scholar 

  • Wang, L., Gong, X., & Pei, C. (2019). Shadow education research with mathematics education: Its value and future research area. Journal of Mathematics Education, 28(1), 79–82.

    Google Scholar 

  • Yackel, E., & Cobb, P. (1996). Sociomathematical norms, argumentation, and autonomy in mathematics. Journal for Research in Mathematics Education, 27(4), 390–408.

    Google Scholar 

  • Yung, K. W. (2020). Comparing the effectiveness of cram school tutors and schoolteachers: A critical analysis of students’ perceptions. International Journal of Educational Development, 72, 102141.

    Google Scholar 

  • Zeng, X., & Zhou, H. (2012). A descriptive analysis on after–school tutoring in Beijing: Its costs and benefits. Journal of Educational Studies, 8(6), 103–109.

    Google Scholar 

  • Zhang, Y. (2011). The determinants of National College Entrance Exam performance in [People’s Republic of] ChinaWith an analysis of private tutoring. (Unpublished doctoral dissertation). Columbia University, New York, USA.

  • Zhang, Y. (2013). Does private tutoring improve students’ national college entrance exam performance? A case study from Jinan, China. Economics of Education Review, 32, 1–28.

    Google Scholar 

  • Zhang, Y., & Liu, J. (2016). The effectiveness of private tutoring in China with a focus on class–size. International Journal of Educational Development, 46, 35–42.

    Google Scholar 

  • Zhang, Y., Ma, X., & Wang, L. (2020). The determinants of private tutoring participation for mathematics in China: Focusing on the role of student metacognition. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.00603.

    Article  Google Scholar 

  • Zhao, G. (2015). Can money “buy” schooling achievement? Evidence from 19 Chinese cities. China Economic Review, 35, 83–104.

    Google Scholar 

  • Zheng, X., Wang, C., Shen, Z., & Fang, X. (2020). Associations of private tutoring with Chinese students’ academic achievement, emotional well–being, and parent–child relationship. Children and Youth Services Review. https://doi.org/10.1016/j.childyouth.2020.104934.

    Article  Google Scholar 

Download references

Funding

This research was funded by Beijing Philosophy and Social Sciences Grant (18JYC025).

Author information

Authors and Affiliations

Authors

Contributions

L.W contributed conception and design of the study and organized the database; Y.Z., Y.D., Y.H. and X.M. performed the statistical analysis; L.W and Y.Z wrote the first draft of the manuscript; and wrote sections of the manuscript. All authors contributed to manuscript revision, read and approved the submitted version.

Corresponding author

Correspondence to Lidong Wang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix A

Appendix A

See Table 7.

Table 7 Correlation analysis

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Dang, Y., He, Y. et al. Is private supplementary tutoring effective? A longitudinally detailed analysis of private tutoring quality in China. Asia Pacific Educ. Rev. 22, 239–259 (2021). https://doi.org/10.1007/s12564-021-09671-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12564-021-09671-3

Keywords

Navigation