In order to improve the efficiency of teaching and learning, it is very important to grasp learners’ mental states during their learning processes. In this study, we attempt to extract and formalize the relationships between learners’ mental states and learners’ physiological information complemented with teachers’ speech acts using the association rule mining technique through an experiment. As a result, four sets of association rules with high degrees of generality are obtained.
CITATION STYLE
Takehana, K., & Matsui, T. (2016). Association rules on relationships between learner’s physiological information and mental states during learning process. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9735, pp. 209–219). Springer Verlag. https://doi.org/10.1007/978-3-319-40397-7_21
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