IEICE TRANSACTIONS on Information
An Inductive Student Modeling Method which Deals with Student Contradictions
Summary :
Student contradictions are the essentials of concepts and knowledge acquisition processes of a student, in the course of tutoring. This paper presents a new perspective to represent student contradictions and a student modeling architecture to capture them. The formulation of a student modeling mechanism enables flexible decision making by using information obtained from students. A nonmonotonic and inductive student model inference system HSMIS has been developed and formulated to cope with modeling contradictions, which basically embodies advanced representation power, sufficiently high adaptability and generality. The HSMIS is evaluated and compared with other representative systems in order to demonstrate its effectiveness.
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- IEICE TRANSACTIONS on Information Vol.E77-D No.1 pp.39-48
- Publication Date
- 1994/01/25
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- Special Section PAPER (Special Issue on Intelligent CAI and Hypermedia)
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Yasuyuki KONO, Mitsuru IKEDA, Riichiro MIZOGUCHI, "An Inductive Student Modeling Method which Deals with Student Contradictions" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 1, pp. 39-48, January 1994, doi: .
Abstract: Student contradictions are the essentials of concepts and knowledge acquisition processes of a student, in the course of tutoring. This paper presents a new perspective to represent student contradictions and a student modeling architecture to capture them. The formulation of a student modeling mechanism enables flexible decision making by using information obtained from students. A nonmonotonic and inductive student model inference system HSMIS has been developed and formulated to cope with modeling contradictions, which basically embodies advanced representation power, sufficiently high adaptability and generality. The HSMIS is evaluated and compared with other representative systems in order to demonstrate its effectiveness.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_1_39/_p
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@ARTICLE{e77-d_1_39,
author={Yasuyuki KONO, Mitsuru IKEDA, Riichiro MIZOGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={An Inductive Student Modeling Method which Deals with Student Contradictions},
year={1994},
volume={E77-D},
number={1},
pages={39-48},
abstract={Student contradictions are the essentials of concepts and knowledge acquisition processes of a student, in the course of tutoring. This paper presents a new perspective to represent student contradictions and a student modeling architecture to capture them. The formulation of a student modeling mechanism enables flexible decision making by using information obtained from students. A nonmonotonic and inductive student model inference system HSMIS has been developed and formulated to cope with modeling contradictions, which basically embodies advanced representation power, sufficiently high adaptability and generality. The HSMIS is evaluated and compared with other representative systems in order to demonstrate its effectiveness.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - An Inductive Student Modeling Method which Deals with Student Contradictions
T2 - IEICE TRANSACTIONS on Information
SP - 39
EP - 48
AU - Yasuyuki KONO
AU - Mitsuru IKEDA
AU - Riichiro MIZOGUCHI
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 1994
AB - Student contradictions are the essentials of concepts and knowledge acquisition processes of a student, in the course of tutoring. This paper presents a new perspective to represent student contradictions and a student modeling architecture to capture them. The formulation of a student modeling mechanism enables flexible decision making by using information obtained from students. A nonmonotonic and inductive student model inference system HSMIS has been developed and formulated to cope with modeling contradictions, which basically embodies advanced representation power, sufficiently high adaptability and generality. The HSMIS is evaluated and compared with other representative systems in order to demonstrate its effectiveness.
ER -
English
