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.
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Clarke-Midura, J., Yudelson, M.V. (2013). Towards Identifying Students’ Causal Reasoning Using Machine Learning. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_93
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DOI: https://doi.org/10.1007/978-3-642-39112-5_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39111-8
Online ISBN: 978-3-642-39112-5
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