Effect of aptitude heterogeneity on interactive classroom learning

Authors

  • Ranzivelle Marianne Roxas ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Christopher Monterola ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Sheryl Lyn Carreon-Monterola ⋅ PH University of the Philippines Integrated School, Diliman

Abstract

The transmission of information in a classroom composed of interacting students is previously mapped using a neural network [R.M. Roxas, et al, SPP-2006-1B-01]. Here, the performance of the entire class based on the variability of the students' aptitude is addressed. We demonstrate that when a population of average or below average students is grouped homogenously, the average performance of the student after a student interaction opportunity (SIO) is better, as compared to a heterogeneous distribution. The results imply that low-achieving students learn better by interacting with students of same ability and that high-achieving stu­dents benefit more from fewer interaction both in same- and mixed-ability grouping. The study aims to develop a systematic procedure in sectioning classes to achieve optimal learning.

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Published

2007-10-01

Issue

Vol. 1 No. 1: October 2007

Section

Brief Communications