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

Keiichi Muramatsu; Kazuaki Kojima; Tatsunori Matsui

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 conference › Paper › peer-review

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 language	English
Pages	33-40
Number of pages	8
Publication status	Published - 2012 Jan 1
Event	20th International Conference on Computers in Education, ICCE 2012 - Singapore, Singapore Duration: 2012 Nov 26 → 2012 Nov 30

Conference

Conference	20th International Conference on Computers in Education, ICCE 2012
Country	Singapore
City	Singapore
Period	12/11/26 → 12/11/30

Keywords

Computer-based test
Eye movement
Mental state
Ontology

ASJC Scopus subject areas

Computer Science (miscellaneous)
Education

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AU - Matsui, Tatsunori

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AB - 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).

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