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

School of Human Sciences

Research output: Contribution to conference › Paper

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 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

Access to Document

Fingerprint Dive into the research topics of 'Ontological descriptions for eye movement data and mental states in taking computer-based multiple-choice tests'. Together they form a unique fingerprint.

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.

@conference{1bcb17b0b9e043b6937fb4fab963fdca,

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

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).",

keywords = "Computer-based test, Eye movement, Mental state, Ontology",

author = "Keiichi Muramatsu and Kazuaki Kojima and Tatsunori Matsui",

year = "2012",

month = jan,

day = "1",

language = "English",

pages = "33--40",

note = "20th International Conference on Computers in Education, ICCE 2012 ; Conference date: 26-11-2012 Through 30-11-2012",

}

TY - CONF

T1 - Ontological descriptions for eye movement data and mental states in taking computer-based multiple-choice tests

AU - Muramatsu, Keiichi

AU - Kojima, Kazuaki

AU - Matsui, Tatsunori

PY - 2012/1/1

Y1 - 2012/1/1

N2 - 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).

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).

KW - Computer-based test

KW - Eye movement

KW - Mental state

KW - Ontology

UR - http://www.scopus.com/inward/record.url?scp=84896346890&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896346890&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84896346890

SP - 33

EP - 40

T2 - 20th International Conference on Computers in Education, ICCE 2012

Y2 - 26 November 2012 through 30 November 2012

ER -