Characterizing the effect of seating arrangement in a classroom learning using neural networks

Authors

  • Ranzivelle Marianne Roxas National Institute of Physics, University of the Philippines Diliman
  • Christopher Monterola National Institute of Physics, University of the Philippines Diliman
  • Giovanni Tapang National Institute of Physics, University of the Philippines Diliman
  • Sheryl Carreon-Monterola UP Integrated School, College of Education, University of the Philippines Diliman

Abstract

A framework patterned from Eric Mazur's Peer Instruction Method is developed to probe the propagation of information in a classroom setting. Using actual experimentation, we demonstrate that a two layer neural network is capable of accurately characterizing the final spatial information profile of students that are allowed to interact. The resulting dynamics suggest that the spreading of correct information can be optimized by strategically assigning a seating arrangement based on the perceived intelligence level of each student. The results are expected to provide an impetus on new instructional structures/formats that inherently incorporate student interactions during lectures.

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Issue

Article ID

SPP-2006-1B-01

Section

Physics Education

Published

2006-10-25

How to Cite

[1]
RM Roxas, C Monterola, G Tapang, and S Carreon-Monterola, Characterizing the effect of seating arrangement in a classroom learning using neural networks, Proceedings of the Samahang Pisika ng Pilipinas 24, SPP-2006-1B-01 (2006). URL: https://proceedings.spp-online.org/article/view/SPP-2006-1B-01.