Adaptive modelling of users' strategies in exploratory learning using case-based reasoning

Mihaela Cocea; S. Gutierrez-Santos; G. Magoulas

Adaptive modelling of users' strategies in exploratory learning using case-based reasoning

Mihaela Cocea
, S. Gutierrez-Santos
, G. Magoulas

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

270 Downloads (Pure)

Abstract

In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in advance and, even if they were, introducing them in the knowledge base would involve considerable time and effort. In previous work, we have proposed a case-based knowledge representation, modelling the learners behaviour when constructing/exploring models through simple cases and sequences of cases, called strategies. In this paper, we enhance this approach with adaptive mechanisms for expanding the knowledge base. These mechanisms allow to identify and store inefficient cases, i.e. cases that pose additional difficulty to students in their learning process, and to gradually enrich the knowledge base by detecting and adding new strategies.

Original language	English
Title of host publication	Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II
Editors	R. Setchi, Ivan Jordanov, R. Howlett, L. Jain
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	124-134
Number of pages	11
Edition	6277
ISBN (Print)	9783642153891
Publication status	Published - 2010
Event	Proceedings of the 14th International Conference on Knowledge-based and Intelligent Information and Engineering Systems: Part II - Cardiff, United Kingdom Duration: 8 Sept 2010 → 10 Sept 2010

Publication series

Name	Lecture notes in computer science
Publisher	Springer-Verlag
Number	6277

Conference

Conference	Proceedings of the 14th International Conference on Knowledge-based and Intelligent Information and Engineering Systems: Part II
Country/Territory	United Kingdom
Period	8/09/10 → 10/09/10

Keywords

case-based reasoning
exploratory learning environments
knowledge base adaptation
user modelling

Access to Document

KES10Adapt.pdfAccepted author manuscript (Post-print), 557 KB

User modelling in Exploratory Learning Environments
Haig, E. (PI)
1/10/07 → 31/10/11
Project: Research

Best PhD Student Paper Award KES 2010
Cocea, M. (Recipient), 2010
Prize: Prize (including medals and awards)

Cite this

Cocea, M., Gutierrez-Santos, S., & Magoulas, G. (2010). Adaptive modelling of users' strategies in exploratory learning using case-based reasoning. In R. Setchi, I. Jordanov, R. Howlett, & L. Jain (Eds.), Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II (6277 ed., pp. 124-134). (Lecture notes in computer science; No. 6277). Springer.

Cocea, Mihaela ; Gutierrez-Santos, S. ; Magoulas, G. / Adaptive modelling of users' strategies in exploratory learning using case-based reasoning. Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II. editor / R. Setchi ; Ivan Jordanov ; R. Howlett ; L. Jain. 6277. ed. Berlin, Heidelberg : Springer, 2010. pp. 124-134 (Lecture notes in computer science; 6277).

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abstract = "In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in advance and, even if they were, introducing them in the knowledge base would involve considerable time and effort. In previous work, we have proposed a case-based knowledge representation, modelling the learners behaviour when constructing/exploring models through simple cases and sequences of cases, called strategies. In this paper, we enhance this approach with adaptive mechanisms for expanding the knowledge base. These mechanisms allow to identify and store inefficient cases, i.e. cases that pose additional difficulty to students in their learning process, and to gradually enrich the knowledge base by detecting and adding new strategies.",

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author = "Mihaela Cocea and S. Gutierrez-Santos and G. Magoulas",

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Cocea, M, Gutierrez-Santos, S & Magoulas, G 2010, Adaptive modelling of users' strategies in exploratory learning using case-based reasoning. in R Setchi, I Jordanov, R Howlett & L Jain (eds), Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II. 6277 edn, Lecture notes in computer science, no. 6277, Springer, Berlin, Heidelberg, pp. 124-134, Proceedings of the 14th International Conference on Knowledge-based and Intelligent Information and Engineering Systems: Part II, United Kingdom, 8/09/10.

Adaptive modelling of users' strategies in exploratory learning using case-based reasoning. / Cocea, Mihaela; Gutierrez-Santos, S.; Magoulas, G.
Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II. ed. / R. Setchi; Ivan Jordanov; R. Howlett; L. Jain. 6277. ed. Berlin, Heidelberg: Springer, 2010. p. 124-134 (Lecture notes in computer science; No. 6277).

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

TY - CHAP

T1 - Adaptive modelling of users' strategies in exploratory learning using case-based reasoning

AU - Cocea, Mihaela

AU - Gutierrez-Santos, S.

AU - Magoulas, G.

N1 - Additional Information: Won Best Student Paper award.

PY - 2010

Y1 - 2010

N2 - In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in advance and, even if they were, introducing them in the knowledge base would involve considerable time and effort. In previous work, we have proposed a case-based knowledge representation, modelling the learners behaviour when constructing/exploring models through simple cases and sequences of cases, called strategies. In this paper, we enhance this approach with adaptive mechanisms for expanding the knowledge base. These mechanisms allow to identify and store inefficient cases, i.e. cases that pose additional difficulty to students in their learning process, and to gradually enrich the knowledge base by detecting and adding new strategies.

AB - In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in advance and, even if they were, introducing them in the knowledge base would involve considerable time and effort. In previous work, we have proposed a case-based knowledge representation, modelling the learners behaviour when constructing/exploring models through simple cases and sequences of cases, called strategies. In this paper, we enhance this approach with adaptive mechanisms for expanding the knowledge base. These mechanisms allow to identify and store inefficient cases, i.e. cases that pose additional difficulty to students in their learning process, and to gradually enrich the knowledge base by detecting and adding new strategies.

KW - case-based reasoning

KW - exploratory learning environments

KW - knowledge base adaptation

KW - user modelling

M3 - Chapter (peer-reviewed)

SN - 9783642153891

T3 - Lecture notes in computer science

SP - 124

EP - 134

BT - Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II

A2 - Setchi, R.

A2 - Jordanov, Ivan

A2 - Howlett, R.

A2 - Jain, L.

PB - Springer

CY - Berlin, Heidelberg

T2 - Proceedings of the 14th International Conference on Knowledge-based and Intelligent Information and Engineering Systems: Part II

Y2 - 8 September 2010 through 10 September 2010

ER -

Cocea M, Gutierrez-Santos S, Magoulas G. Adaptive modelling of users' strategies in exploratory learning using case-based reasoning. In Setchi R, Jordanov I, Howlett R, Jain L, editors, Knowledge-based and intelligent information and engineering systems: 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings, part II. 6277 ed. Berlin, Heidelberg: Springer. 2010. p. 124-134. (Lecture notes in computer science; 6277).

Adaptive modelling of users' strategies in exploratory learning using case-based reasoning

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Projects

User modelling in Exploratory Learning Environments

Prizes

Best PhD Student Paper Award KES 2010

Cite this