Experimental study toward estimation of a learner mental state from processes of solving multiple choice problems based on eye movements

Kazuaki Kojima, Keiich Muramatsu, Tatsunori Matsui

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

Recently, the research area of intelligent educational systems has increasingly approached Educational Data Mining, which addressed a variety of learner aspects such as mental states. Although data of eye movements is promising in realizing mental states of learners, we have to empirically understand features of eye movements in advance due to difficulty in handling them. Toward the final goal of automatic estimation of learner mental states based on eyes, this study experimentally described changes of eye movements by confidence of correct answers. In our experiment, participants were asked to answer multiple-choice problems and respond to questionnaires about the problems, with the results indicating that transitions of eyes in initial processes where all choices were scanned differed depending on the levels of confidence.

Original languageEnglish
Pages81-85
Number of pages5
Publication statusPublished - 2012 Jan 1
Event20th International Conference on Computers in Education, ICCE 2012 - Singapore, Singapore
Duration: 2012 Nov 262012 Nov 30

Conference

Conference20th International Conference on Computers in Education, ICCE 2012
CountrySingapore
CitySingapore
Period12/11/2612/11/30

Keywords

  • Confidence
  • Educational data mining
  • Eye movements
  • Mental state
  • Multiple-choice problems

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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