ABSTRACT
Grouping students with similar past achievement together (tracking) might affect their reading achievement. Multilevel analyses of 208,057 fourth grade students in 40 countries showed that clustering students in schools by past achievement was linked to higher reading achievement, consistent with the benefits of customized, targeted instruction. Meanwhile, students had higher reading achievement with greater differences (variances) among classmates' past achievement, reading attitudes, or family SES; these results are consistent with the view that greater student differences yield more help opportunities (higher achievers help lower achievers, so that both learn), and foster learning from their different resources, attitudes and behaviors. Also, a student had higher reading achievement when classmates had more resources (SES, home educational resources, reading attitude, past achievement), suggesting that classmates shared their resources and helped one another. Modeling of non-linear relations and achievement subsamples of students supported the above interpretations. Principals can use these results and a simpler version of this methodology to re-allocate students and resources into different course sections at little cost to improve students' reading achievement.
- Chmielewski, A.K., 2014. An international comparison of achievement inequality in within-and between-school tracking systems. American J. of Education, 1203, 293--324.Google ScholarCross Ref
- Hanushek, E. A., and Wöbmann, L. 2006. Does educational tracking affect performance and inequality? The Economic J., 116, 510, C63--C76.Google ScholarCross Ref
- Opdenakker, M.C. and Damme, J., 2001. Relationship between school composition and characteristics of school process and their effect on mathematics achievement. British Educational Research J., 27, 4, pp.407--432.Google ScholarCross Ref
- Chiu, M. M. and Walker, A., 2007. Leadership for social justice in Hong Kong schools Addressing mechanisms of inequality. J. of Educational Administration, 45, 6, 724--739.Google ScholarCross Ref
- Boaler, J., 2013. Ability and mathematics. Forum, 55, 1, 143--152.Google ScholarCross Ref
- Hanushek, E.A., Kain, J.F., Markman, J.M. and Rivkin, S.G., 2003. Does peer ability affect student achievement? J. of applied econometrics, 185, 527--544.Google Scholar
- Goldstein, H., 2011. Multilevel statistical models. John Wiley & Sons, Sydney.Google Scholar
- Kennedy, P., 2003. A guide to econometrics. Blackwell, Cambridge, MA.Google Scholar
- Lleras, C. and Rangel, C., 2009. Ability grouping practices in elementary school and African American/Hispanic achievement. American J. of Education, 115, 2, 279--304.Google ScholarCross Ref
- Watanabe, M. 2008. Tracking in the era of high stakes state accountability reform. Teach. Coll. Rec., 110, 3, 489--534.Google Scholar
- Smith, B. J. 2013. Dropouts and differentiation. In Differentiated instruction, E. F. Sparapani, Ed. University Press of America, Lanham, MD, 221--230.Google Scholar
- Westwood, P. 2013. Inclusive and adaptive teaching. Routledge, New York, NY.Google Scholar
- Brechwald, W. A. and Prinstein, M. J. 2011. Beyond homophily. J. of Research on Adolescence, 21, 1, 166--179.Google ScholarCross Ref
- Chiu, M. M. 2008a. Inequality mechanisms that hurt both privileged and disadvantaged students' learning. In I. H. Wadell's Ed. Income Distribution. Nova Science Publishers, Hauppauge, NY, 79--98.Google Scholar
- Jansen, M., Schroeders, U., Lüdtke, O. and Marsh, H. W. 2015. Contrast and assimilation effects of dimensional comparisons in five subjects: An extension of the I/E model. J. of Educational Psychology, 107, 4, 1086.Google ScholarCross Ref
- Pintrich, P. R. 2003. A motivational science perspective on the role of student motivation in learning and teaching contexts. J. of Educational Psychology, 95, 667--686.Google ScholarCross Ref
- Kaplan, S. N., Guzman, I. and Tomlinson, C. A. 2009. Using the parallel curriculum model in urban settings, grades K-8. Corwin, Thousand Oaks, CA.Google Scholar
- Chiu, M. M. and Khoo, L. 2005. Effects of resources, inequality, and privilege bias on achievement. American Educational Research J., 42, 575--603.Google ScholarCross Ref
- Blatchford, P., Pellegrini, A. D. and Baines, E. 2016. The Child at School. Routledge, New York, NY.Google Scholar
- Watson, W. E., Johnson, L. and Zgourides, G. D. 2002. The influence of ethnic diversity on leadership, group process, and performance. Int. J. of Intercult. Rel., 26, 1, 1--16.Google ScholarCross Ref
- Van Knippenberg, D. and Schippers, M. C. 2007. Work group diversity. Annual Review of Psychology, 58, 515--541.Google ScholarCross Ref
- Sharan, Y. 2010. Cooperative learning for academic and social gains. European J. of Education, 45, 2, 300--313.Google ScholarCross Ref
- De Dreu, C. K. W. & West, M. A. 2001. Minority dissent and team innovation. J. of Appl. Psychology, 86, 1191--1201.Google ScholarCross Ref
- Chiu, M. M. 2008. Flowing toward correct contributions during groups' mathematics problem solving. J. of the Learning Sciences, 17, 3, 415--463.Google ScholarCross Ref
- Paulus, P. B. and Brown, V. 2003. Ideational creativity in groups. In Group creativity, P. B. Paulus and B. A. Nijstad Eds. Oxford University Press, New York, NY, 110--136.Google Scholar
- Schippers, M. C., Den Hartog, D. N. and Koopman, P. L. 2007. Reflexivity in teams A measure and correlates. Applied psychology, 56, 2, 189--211.Google Scholar
- Van Offenbeek, M. 2001. Processes and outcomes of team learning. European J. of Work and Organizational Psychology, 10, 303--317.Google ScholarCross Ref
- Sweller, J. 2010. Cognitive load theory. In Cognitive load theory, J. L. Plass, R. Moreno and R. Brunken, Eds. Cambridge University Press, New York, NY, 29--47Google Scholar
- Baddeley, A. 2003. Working memory. Nature reviews neuroscience, 4, 10, 829--839.Google Scholar
- Tribushinina, E. 2008. Cognitive reference points. Netherlands Graduate School of Linguistics, Utrecht, Netherlands.Google Scholar
- Glogger, I., Holzapfel, L., Kappich, J., Schwonke, R., Nuckles, M. and Renkl, A. 2013. Development and evaluation of a computer-based learning environment for teachers. Education Research International.Google Scholar
- Liu, W. C., Wang, C. K. J. and Parkins, E. J. 2005. A longitudinal study of students' academic self-concept in a streamed setting: The Singapore context. British J. of Educational Psychology, 75, 4, 567--586.Google ScholarCross Ref
- Skibbe, L. E., Phillips, B. M., Day, S. L., Brophy-Herb, H. E. and Connor, C. M. 2012. Children's early literacy growth in relation to classmates' self-regulation. J. of Educational Psychology, 104, 541--553.Google ScholarCross Ref
- Chiu, M. M. and Chow, B. W.-Y. 2010. Culture, motivation, and reading achievement: High school students in 41 countries. Learning and Individual Differences, 20, 579--592.Google ScholarCross Ref
- Chiu, M. M. and Chow, B. W. Y. 2015. Classmate characteristics and student achievement in 33 countries. J. of Educational Psychology, 107, 1, 152--169.Google ScholarCross Ref
- Chiu, M. M. and McBride-Chang, C. 2006. Gender, context, and reading. Scientific Studies of Reading, 10, 331--362.Google ScholarCross Ref
- Baker, D. P., Goesling, B. and Letendre, G. K. 2002. Socioeconomic status, school quality, and national economic development. Comparative Education Review, 46, 291--312.Google ScholarCross Ref
- Chiu, M. M. and Klassen, R. M. 2009. Calibration of reading self-concept and reading achievement among 15-year-olds. Learning and Individual Differences, 19, 372--386.Google ScholarCross Ref
- Thapa, A., Cohen, J., Guffey, S. and Higgins-D'Alessandro, A. 2013. A review of school climate research. Review of Educational Research, 83, 3, 357--385.Google ScholarCross Ref
- Winters, M. A., Haight, R. C., Swaim, T. T. and Pickering, K. A. 2013. The effect of same-gender teacher assignment on student achievement in the elementary and secondary grades. Economics of Education Review, 34, 69--75.Google ScholarCross Ref
- Martin, M. O., Mullis, I. V. S. and Kennedy, A. M. 2003. PIRLS 2001 technical report. TIMSS & PIRLS International Center, Boston College, Chestnut Hill, MA.Google Scholar
- World Bank. 2007. The world development report 2006. Oxford University Press, New York, NY.Google Scholar
- Vygotsky, L. S. 2014. Genesis of the higher mental functions. In P. Light, S. Sheldon, M. Woodhead's (Eds.) Learning to think (pp. 35--45). Routledge, New York, NY.Google Scholar
Index Terms
- How to assign students into sections to raise learning
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