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Association Rules on Relationships Between Learner’s Physiological Information and Mental States During Learning Process

  • Kazuma Takehana
  • Tatsunori Matsui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9735)

Abstract

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.

Keywords

Learning Mental state Physiological information Association rule 

Notes

Acknowledgements

This research received support from the Grant-in-Aid of Scientific Research (22300294) and Service Science, Solution and Foundation Integrated Research Program of JST (Japan Science and Technology Agency)/ RISTEX (Research Institute of Science and Technology for Society). In addition, the authors would like to thank Siyuan Fang and Yoshimasa Tawatsuji for their great support of the progress of this research.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Human SciencesWaseda UniversitySaitamaJapan
  2. 2.Faculty of Human SciencesWaseda UniversitySaitamaJapan

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