In-process Feedback by Detecting Deadlock based on EEG Data in Exercise of Learning by Problem-posing

Sho Yamamoto*, Yuto Tobe, Yoshimasa Tawatsuji, Tsukasa Hirashima

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Giving feedback to learning activities is one of the most important issues so as to realize adaptive learning. Feedback for the product of the activity (we call it “after-process feedback”) has previously been implemented in many interactive and adaptive learning environments. However, feedback during the activity (we call it “in-process feedback”) has been hardly implemented. When a learner gets stuck or frustrated during some stage of the process, in-process feedback is much better than after-process feedback. The difficulty in realizing in-process feedback lies in the timing and content of the feedback. To solve this, we developed and implemented affect detection based on EEG data for deciding the timing of the feedback, and knowledge state estimation based on knowledge structure for the content of the feedback. Furthermore, in this study, we realize and evaluate the in-process feedback by detecting deadlocks based on EEG data for learning through problem-posing.

Original languageEnglish
Title of host publication29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
EditorsMaria Mercedes T. Rodrigo, Sridhar Iyer, Antonija Mitrovic, Hercy N. H. Cheng, Dan Kohen-Vacs, Camillia Matuk, Agnieszka Palalas, Ramkumar Rajenran, Kazuhisa Seta, Jingyun Wang
PublisherAsia-Pacific Society for Computers in Education
Pages21-30
Number of pages10
ISBN (Electronic)9789869721479
Publication statusPublished - 2021 Nov 22
Event29th International Conference on Computers in Education Conference, ICCE 2021 - Virtual, Online
Duration: 2021 Nov 222021 Nov 26

Publication series

Name29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
Volume1

Conference

Conference29th International Conference on Computers in Education Conference, ICCE 2021
CityVirtual, Online
Period21/11/2221/11/26

Keywords

  • EEG
  • Problem-posing
  • in-process feedback
  • knowledge structure
  • wheel-spinning problem

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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