Modeling middle school students preconceptions and inclination to STEM-related careers using neural networks

Authors

  • Abigail Mae C. Jayin National Institute of Physics, University of the Philippines Diliman
  • Isabelo Miguel R. Castro Miriam College Middle School

Abstract

We conduct a survey of three distinct populations of Grade 8 female students to determine students' preconceptions toward STEM careers and their inclination to select a STEM career in the future. A set of 29 questions was given to each student and the responses are recorded and analyzed using standard one-way ANOVA. Furthermore, we model the students' responses to the survey using a multilayer feed-forward artificial neural network. We find that students prioritize STEM subjects in school to get into a STEM-related career in the future, indicating that initial personal interest highly contributes to students' decision to go to a STEM career.

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Issue

Article ID

SPP-2015-2C-01

Section

Physics Education

Published

2015-06-03

How to Cite

[1]
AMC Jayin and IMR Castro, Modeling middle school students preconceptions and inclination to STEM-related careers using neural networks, Proceedings of the Samahang Pisika ng Pilipinas 33, SPP-2015-2C-01 (2015). URL: https://proceedings.spp-online.org/article/view/1140.