Skip to main content

Advertisement

Log in

Impact of Korean students’ individual learning time on math performance: differential effect of teachers’ assessment competency

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

Abstract

As the 2015 revised national curriculum is being implementing in Korea, a teacher’s assessment competency has become a point of focus for the potential enhancement of students’ self-directed learning. Relevantly, a teacher’s competency in student assessment is correlated to his/her individual feedback practices. Although students’ self-directed learning affects academic performance and may vary based on their teachers’ assessment competency, few studies have investigated the effect of a teacher’s assessment competency, specially feedback practices, on student outcomes. Therefore, this study aims to empirically investigate the differential effect of a teacher’s assessment competency, particularly focusing on feedback practices (i.e., formative assessment feedback, homework feedback), on Korean students’ individual learning times and math achievements. For the analysis, a 3-level hierarchical linear modeling (HLM) is employed using data of middle school students (N = 2942) and math teachers (N = 426) in 207 middle schools of the Gyeonggi Education Panel Study (GEPS). The study revealed that a teacher’s formative assessment feedback has a positive differential effect on math performance when controlling for student-, teacher-, and school-level covariates. In addition, the effect of individual learning time on math achievement was significantly dependent on teachers’ homework feedback. The study provides newfound empirical evidence that teacher feedback plays a pivotal role in promoting a student’s self-directed learning and academic achievement. Based on these findings, the implications of improving a teacher’s assessment competency are discussed.

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.

Similar content being viewed by others

Notes

  1. We excluded the cases of students taught by more than two math teachers (see MS_MTCH26 variable). This will not weaken the results of the study since these cases are only 17 students in the total sample.

  2. For reference, we found that there were several mis-typed cases regarding SCH_ID in the student data. For example, students with the NSTID of “10,850,403”, “11,070,313”, and “10,310,101” had SCH_IDs of “1073,” “1074,” and “1086”, respectively. However, SCH_IDs must start with “2” in the SELS, but there is no school with these IDs in both teacher and school data. The SCH_IDs mentioned above are recognized as mis-typed information. Hence, we scoped out the cases and found that the first four digits of “MS_MTCH6” exactly indicated the information of schools. We created new school IDs using “MS_MTCH6.”

  3. Given the missing mechanism may differ from subjects, only math teachers were selected using the subject (MT070006) variable. No imputation was applied to the school-level covariates because of the low missing rate. Only for the case of school type (private school), we replaced missing cases with using prior data (the 5th wave) since missing values at school-level could lead to the loss of corresponding cases of students and teachers.

References

  • Aaronson, D., Barrow, L., & Sander, W. (2007). Teachers and student achievement in the Chicago Public High Schools. Journal of Labor Economics, 25(1), 95–135.

    Google Scholar 

  • Artis, A. B., & Harris, E. G. (2007). Self-directed learning and sales force performance: An integrated framework. Journal of Personal Selling and Sales Management, 27(1), 9–24.

    Google Scholar 

  • Aviram, A., Ronen, Y., Somekh, S., Winer, A., & Sarid, A. (2008). Self-regulated personalized learning (SRPL): Developing iClass’s pedagogical model. eLearning Papers, 9(9), 1–17.

    Google Scholar 

  • Bae, J. H., & Shon, W. S. (2018). Relationships of students’ perceived learning environment, instruction, and assessment practice with their affective achievement: PISA 2015 science data. The Journal of Curriculum and Evaluation, 21(3), 131–154.

    Google Scholar 

  • Black, P., & William, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74.

    Google Scholar 

  • Boyer, S. L., Artis, A. B., Solomon, P., & Fleming, D. E. (2012). Improving sales performance with self-directed learning. Marketing Management Journal, 22(22), 61–75.

    Google Scholar 

  • Boyer, S. L., Edmonson, D. R., Artis, A. B., & Fleming, D. E. (2014). Self-directed learning: A tool for lifelong learning. Journal of Marketing Education., 36(1), 20–32. https://doi.org/10.1177/0273475313494010.

    Article  Google Scholar 

  • Brincks, A. M., Enders, C. K., Llabre, M. M., Bulotsky-Shearer, R. J., Prado, G., & Feaster, D. J. (2017). Centering predictor variables in three-level contextual models. Multivariate Behavioral Research, 52(2), 149–163.

    Google Scholar 

  • Brookhart, S. M. (2008). How to Give Effective Feedback to Your Students. Alexandria, VA: Association for Supervision and Curriculum Development.

    Google Scholar 

  • Cazan, A. M., & Schiopca, B. A. (2014). Self-directed learning, personality traits and academic achievement. Procedia-Social and Behavioral Sciences, 127, 640–644. https://doi.org/10.1016/j.sbspro.2014.03.327.

    Article  Google Scholar 

  • Chi, E. L. (2009). Exploring the factors and key aspects of teachers’ feedback practice. Asian Journal of Education, 10(3), 77–102.

    Google Scholar 

  • Chi, E. L., Yang, M. H., & Cheong, Y. S. (2011). Effects of teachers` activities for instruction and evaluation on students’ self-regulated learning and academic achievement. The Study of Elementary Education, 24(4), 165–184.

    Google Scholar 

  • Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12(2), 121.

    Google Scholar 

  • Han, H. C., Chang, K. S., Kim, K. C., & Lee, J. Y. (2017). A Study of organizing the elementary and middle school curriculum for cultivating key competencies of the 2015 revised curriculum. Korean Institute of Curriculum and Evaluation.

  • Harris, L. R., Brown, G. T., & Harnett, J. A. (2014). Understanding classroom feedback practices: A study of New Zealand student experiences, perceptions, and emotional responses. Educational Assessment, Evaluation and Accountability, 26, 107–133. https://doi.org/10.1007/s11092-013-9187-5.

    Article  Google Scholar 

  • Harrison, C. (2013). Collaborative action research as a tool for generating formative feedback on teachers’ classroom assessment practice: the KREST project. Teachers and Teaching, 19(2), 202–213. https://doi.org/10.1080/13540602.2013.741839.

    Article  Google Scholar 

  • Heo, E. Y. (2010). The effects of creative discretional activity in a self-directed learning program on middle school students' self-efficacy, motivation, and academic achievement. Journal of Research in Curriculum & Instruction, 14(1), 1–20.

    Google Scholar 

  • Hur, E. J., & Lee, J. D. (2014). The effects of learning type on high school students academic achievement and academic self-concept. Korean Education Inquiry, 32(4), 121–139.

    Google Scholar 

  • Hwang, K. H., Kang, T. J., Park, H. S., Baek, K. S., Lee, Y. H., Lee, H. J., et al. (2015). A study on the curriculum composition integrating humanities and natural sciences. Seoul: Ministry of Education.

    Google Scholar 

  • Ihm, C. S., Park, S. Y., & Lee, K. H. (2004). Private education activities affecting student learning. The Journal of Economics and Finance of Education, 13(1), 331–356.

    Google Scholar 

  • Jang, J., Park, I. W., & Kim, E. (2018). The effect of teachers’ teaching methods on students’ class attitude, classroom atmosphere, class satisfactions, self-directed learning and academic achievement. Teacher Education Research, 57(2), 246–259.

    Google Scholar 

  • Kam, M. Y. (2017). Relationship between feedback types and task persistence: Moderating effects of feedback acceptance. The Journal of Curriculum and Evaluation, 20(1), 143–163.

    Google Scholar 

  • Kang, S. J. (2016). Multilevel Models. Seoul: Hakjisa.

    Google Scholar 

  • Kim, J. Y., Park, I. W., & Jang, J. H. (2017). A study on the effects of the teachers characterisitics recognized by students on student's attitude, self-directed learning and academic achievement. Secondary Education Research, 65(4), 731–758.

    Google Scholar 

  • Kim, K. H. (2009). Estimating the effect of contextual variables using a 3-level model. Journal of Educational Evaluation, 21(3), 145–171.

    Google Scholar 

  • Kim, K. J., & Lee, H. C. (2014). The longitudinal study of private school effect on math achievement growth of Korean middle school students-Utilizing Value-Added Model-. The Journal of Humanities, 38, 257–295.

    Google Scholar 

  • Kim, N. Y., & Lee, D. K. (2018). The effect of teachers’ feedback on homework on students’ academic achievement: A comparative analysis of TIMSS 2015 Korea and Singapore data. The Journal of Korean Teacher Education, 35(2), 385–411.

    Google Scholar 

  • Kim, N. O., Park, M. A., Lee, B. N., & Sohn, W. S. (2018). The role of teacher characteristics and feedback in developing elementary students’ affective and cognitive achievement. Journal of Curriculum Evaluation, 21(2), 129–151.

    Google Scholar 

  • Knowles, M. S. (1975). Self-directed learning: A guide for learners and teachers. New York: Association Press.

    Google Scholar 

  • Lee, J. Y. (2019a). The mediating effect of learning motivation on self-directed learning time and learning strategy in middle school students. Journal of Learner-Centered Curriculum and Instruction, 19(4), 827–844.

    Google Scholar 

  • Lee, J. Y. (2019b). A double mediating effect of class satisfaction and school violence response on the influence of self-directed learning time and class attitude of middle school students. The Journal of Humanities and Social Sciences, 10(1), 555–570.

    Google Scholar 

  • Lee, S. J., & Im, H. J. (2009). An analysis of the effect of private tutoring expenditure on middle school students' achievement. The Journal of Economics and Finance of Education, 18(1), 141–166.

    Google Scholar 

  • Lounsbury, J., Levy, J., Park, S., Gibson, L., & Smith, R. (2009). An investigation of the construct validity of the personality trait of self-directed learning. Learning and Individual Differences, 19, 411–418.

    Google Scholar 

  • Ministry of Education (2015). General Curriculum for Elementary and Secondary School. Notice 2015–74, Separate Volume of Five. Sejong: Ministry of Education.

  • Ministry of Education. (2016). The Explanation of 2015 Revised National Curriculum: Elementary School. Sejong: Ministry of Education.

    Google Scholar 

  • Narciss, S., & Huth, K. (2004). How to design informative tutoring feedback for multimedia learning. In H. Niegemann, R. Brunken, & D. Leutner (Eds.), Instructional design for multimedia learning. Munster: Waxmann. Retrieved April 03, 2020, from https://studierplatz2000.tudresden.de/toolkit/presentations/CD/Literatur/Publikationen/ID_nahu.pdf.

  • Noh, H. J., & Sohn, W. S. (2015). The role of teacher-provided feedback on homework in student engagement and academic achievement. Journal of Educational Evaluation, 28(3), 879–902.

    Google Scholar 

  • Núñez, J. C., Suárez, N., Rosário, P., Vallejo, G., Cerezo, R., & Valle, A. (2015). Teachers’ feedback on homework, homework-related behaviors, and academic achievement. The Journal of Educational Research, 108(3), 204–216.

    Google Scholar 

  • OECD. (2011). Quality time for students: Learning in and out of school. OECD Publishing. https://doi.org/10.1787/9789264087057-en.

    Article  Google Scholar 

  • Park, H. J., Sang, K. A., & Kang, J. Y. (2008). Effect of private tutoring on middle school students' achievement. Journal of Educational Evaluation, 21(4), 107–127.

    Google Scholar 

  • Rhee, K. J., & Kwaug, S. R. (2010). The effects of study-time on the variations of academic achievements. The Korean Association for Survey Research, 11(1), 43–61.

    Google Scholar 

  • Rosário, P., Núñez, J. C., Valle, A., González-Pienda, J., & Lourenço, A. (2013). Grade level, study time, and grade retention and their effects on motivation, self-regulated learning strategies, and mathematics achievement: A structural equation model. European Journal of Psychology of Education, 28(4), 1311–1331.

    Google Scholar 

  • Ruiz-Primo, M. A., & Li, M. (2013). Analyzing teachers' feedback practices in response to students' work in science classrooms. Applied Measurement in Education, 26(3), 163–175. https://doi.org/10.1080/08957347.2013.793188.

    Article  Google Scholar 

  • Seol, B. Y., Cho, E. B., Choi, B. H., Park, S. W., & Shin, J. H. (2019). A longitudinal investigation into beliefs about intelligence and academic achievement: The mediating effects of self-directed learning. Studies on Korean Youth, 30(3), 67–94.

    Google Scholar 

  • Shin, D. R., & Seo, G. J. (2001). Effects of teachers corrective feedback on sense of self: Efficacy and academic achievement. Journal of Curriculum Evaluation, 19(1), 319–342.

    Google Scholar 

  • Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.

    Google Scholar 

  • Sun, M. S. (2013). An analysis of the effect of high school students' learning style on the academic achievement and wage. MA thesis, Ewha Womans University.

  • Sung, K. S., & Kim, J. Y. (2010). An comparative study on the relationship between private tutoring experiences and high school students' academic science achievement: Korea, Finland and Japan. Korean Journal of Sociology of Education, 20(1), 103–126.

    Google Scholar 

  • Trautwein, U., Niggli, A., Schnyder, I., & Lúdtke, O. (2009). Between teacher differences in homework assignments and the development of students' homework effort, homework emotions, and achievement. Journal of Educational Psychology, 101(1), 176–189.

    Google Scholar 

  • Yoo, Y. R., & Kang, M. H. (2014). A structural relationship among influence of others, self-directed learning readiness, engineering self-efficacy and career attitude maturity for female engineering students. Asian Journal of Education, 15(2), 225–247.

    Google Scholar 

  • Yoon, J., Kim, E., Choi, S., Kim, K., & Hwang, K. (2016). Analysis on the Current Status of the OECD Education 2030 Project. Seoul: Korean Educational Development Institute.

    Google Scholar 

  • Yum, S. C., & Kang, D. J. (2020). Development and validation of the formative feedback practice scale for elementary school teachers. The Journal of Curriculum and Evaluation, 23(1), 83–108. https://doi.org/10.29221/jce.2020.23.1.83.

    Article  Google Scholar 

  • Zhao, W., & Chen, H. (2017). Studies on the self-directed learning situation and its influencing factors for nursing students in universities in a province of the western China. Chongqing Medicine, 46(15), 2102–2105.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nayoung Kim.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Byeon, S., Kim, N. Impact of Korean students’ individual learning time on math performance: differential effect of teachers’ assessment competency. Asia Pacific Educ. Rev. 21, 601–613 (2020). https://doi.org/10.1007/s12564-020-09643-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12564-020-09643-z

Keywords

Navigation