Developing a Bayes-net based student model for an External Representation Selection Tutor

Beate Grawemeyer; Richard Cox

Developing a Bayes-net based student model for an External Representation Selection Tutor

Beate Grawemeyer
, Richard Cox

University of Sussex

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners' external representation (ER) selection accuracy on a range of database query tasks. This paper describes how ERST's student model is being constructed - it is a Bayesian network seeded with data from experimental studies. The studies examined the effects of students' background knowledge-of-external representations (KER) upon performance and their preferences for particular information display forms across a range of database query types.

Original language	English
Title of host publication	Artificial Intelligence in Education
Subtitle of host publication	Supporting Learning through Intelligent and Socially Informed Technology
Editors	Chee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
Publisher	IOS Press BV
Pages	810-812
Number of pages	3
ISBN (Electronic)	1586035304, 9781586035303
Publication status	Published - 2005
Externally published	Yes
Event	12th International Conference on Artificial Intelligence in Education - Amsterdam, Netherlands Duration: 18 Jul 2005 → 22 Jul 2005 Conference number: 12

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	125
ISSN (Print)	0922-6389

Conference

Conference	12th International Conference on Artificial Intelligence in Education
Abbreviated title	AIED 2005
Country/Territory	Netherlands
City	Amsterdam
Period	18/07/05 → 22/07/05

Bibliographical note

Publisher Copyright:
© 2005 The authors. All rights reserved.

Keywords

Bayesian networks
External representations
Student modeling

ASJC Scopus subject areas

Artificial Intelligence

Cite this

Grawemeyer, B., & Cox, R. (2005). Developing a Bayes-net based student model for an External Representation Selection Tutor. In C.-K. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (pp. 810-812). (Frontiers in Artificial Intelligence and Applications; Vol. 125). IOS Press BV.

Developing a Bayes-net based student model for an External Representation Selection Tutor. / Grawemeyer, Beate; Cox, Richard.
Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. ed. / Chee-Kit Looi; Gord McCalla; Bert Bredeweg; Joost Breuker. IOS Press BV, 2005. p. 810-812 (Frontiers in Artificial Intelligence and Applications; Vol. 125).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Grawemeyer, B & Cox, R 2005, Developing a Bayes-net based student model for an External Representation Selection Tutor. in C-K Looi, G McCalla, B Bredeweg & J Breuker (eds), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. Frontiers in Artificial Intelligence and Applications, vol. 125, IOS Press BV, pp. 810-812, 12th International Conference on Artificial Intelligence in Education, Amsterdam, Netherlands, 18/07/05.

Grawemeyer, Beate ; Cox, Richard. / Developing a Bayes-net based student model for an External Representation Selection Tutor. Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. editor / Chee-Kit Looi ; Gord McCalla ; Bert Bredeweg ; Joost Breuker. IOS Press BV, 2005. pp. 810-812 (Frontiers in Artificial Intelligence and Applications).

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Developing a Bayes-net based student model for an External Representation Selection Tutor

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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