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Towards Identifying Students’ Causal Reasoning Using Machine Learning

  • Jody Clarke-Midura
  • Michael V. Yudelson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

Causal reasoning is difficult for middle school students to grasp. In this research, we wanted to test the possibility of using machine learning for modeling students’ causal reasoning in a virtual environment designed to assess this skill. Our findings suggest it is possible to use machine learning to emulate student pathways that are able to predict their causal understanding.

Keywords

Virtual learning environment performance assessment causal reasoning machine learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jody Clarke-Midura
    • 1
  • Michael V. Yudelson
    • 2
  1. 1.Graduate School of EducationHarvard UniversityCambridgeUSA
  2. 2.Human-Computer Interaction InstituteCarnegie Mellon UniversityPittsburghUSA

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