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Towards Identifying Students’ Causal Reasoning Using Machine Learning
Artificial Intelligence in Education: 16th International Conference, AIED 2013 (2013)
  • Jody Clarke-Midura
  • Michael V. Yudelson
Abstract
Causal reasoning is difficult for middle school students to grasp. In this research, we wanted to test the possibility of using machine learning algorithms for modeling students’ causal reasoning in a virtual environment de- signed to assess this skill. The goal was to expand our design to include feed- back. 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 rea- soning,
  • machine learning
Disciplines
Publication Date
2013
Citation Information
Clarke-Midura, J., & Yudelson, M. V. (2013). Towards identifying students’ causal reasoning using machine learning. In Artificial Intelligence in Education: 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings 16 (pp. 704-707). Springer Berlin Heidelberg.