Ontological descriptions for eye movement data and mental states in taking computer-based multiple-choice tests

Keiichi Muramatsu, Kazuaki Kojima, Tatsunori Matsui

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Recently, the research in intelligent educational systems has much interest in exploring data from educational settings to understand learners behavior and mental states. To further understand learners based on such the data and sophisticate supportive interventions by educational systems, knowledge of relationships between learners' behavior and mental states must be shared. To propose a framework to share the knowledge, this study attempted ontological descriptions for learners' eye-movement and mental states in solving computer-based multiple-choice problems. The current study forms a technical basis for development of an IMS (Intelligent Mentoring System) in which an automatic mentoring function is implemented with ITS (Intelligent Tutoring System).

Original languageEnglish
Pages33-40
Number of pages8
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

  • Computer-based test
  • Eye movement
  • Mental state
  • Ontology

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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  • Cite this

    Muramatsu, K., Kojima, K., & Matsui, T. (2012). Ontological descriptions for eye movement data and mental states in taking computer-based multiple-choice tests. 33-40. Paper presented at 20th International Conference on Computers in Education, ICCE 2012, Singapore, Singapore.