Contextual adaptation of learning resources

Amel Bouzeghoub; Kien Ngoc Do; Claire Lecocq

Contextual adaptation of learning resources

Amel Bouzeghoub
, Kien Ngoc Do
, Claire Lecocq

CNRS SAMOVAR UMR 5157

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

8 Citations (Scopus)

Abstract

Pervasive learning systems must define new mechanisms to deliver the right resource, at the right time, at the right place to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user activity, user environment and device capacity. This paper presents our approach which involves modeling of context and of situation. As context is based on numerous information which may change frequently (coming from a collection of captors), a more aggregate view is defined to work on more abstract objects: the situation. Context information and situation information have to be widespread into all the models of learning systems: context preferences have to be handled in the learner model, well-adapted situation and situation have to be in the learning resource model. The process of delivering and of adaptation is also enhanced by introducing the comparison between situations. A prototype validates this proposition.

Original language	English
Title of host publication	Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007
Editors	Inmaculada Arnedillo Sanchez
Publisher	IADIS Press
Pages	41-48
Number of pages	8
ISBN (Electronic)	9789728924362
Publication status	Published - 1 Jan 2007
Externally published	Yes
Event	2007 IADIS International Conference Mobile Learning, ML 2007 - Part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007 - Lisbon, Portugal Duration: 5 Jul 2007 → 7 Jul 2007

Publication series

Name	Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007

Conference

Conference	2007 IADIS International Conference Mobile Learning, ML 2007 - Part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007
Country/Territory	Portugal
City	Lisbon
Period	5/07/07 → 7/07/07

Keywords

Adaptation
Context
Learning resources
Personalization
Pervasive learning
User profile

Cite this

Bouzeghoub, A., Do, K. N., & Lecocq, C. (2007). Contextual adaptation of learning resources. In I. A. Sanchez (Ed.), Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007 (pp. 41-48). (Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007). IADIS Press.

Bouzeghoub, Amel ; Do, Kien Ngoc ; Lecocq, Claire. / Contextual adaptation of learning resources. Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007. editor / Inmaculada Arnedillo Sanchez. IADIS Press, 2007. pp. 41-48 (Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007).

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abstract = "Pervasive learning systems must define new mechanisms to deliver the right resource, at the right time, at the right place to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user activity, user environment and device capacity. This paper presents our approach which involves modeling of context and of situation. As context is based on numerous information which may change frequently (coming from a collection of captors), a more aggregate view is defined to work on more abstract objects: the situation. Context information and situation information have to be widespread into all the models of learning systems: context preferences have to be handled in the learner model, well-adapted situation and situation have to be in the learning resource model. The process of delivering and of adaptation is also enhanced by introducing the comparison between situations. A prototype validates this proposition.",

keywords = "Adaptation, Context, Learning resources, Personalization, Pervasive learning, User profile",

author = "Amel Bouzeghoub and Do, \{Kien Ngoc\} and Claire Lecocq",

note = "Publisher Copyright: {\textcopyright} 2007 IADIS.; 2007 IADIS International Conference Mobile Learning, ML 2007 - Part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007 ; Conference date: 05-07-2007 Through 07-07-2007",

year = "2007",

month = jan,

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series = "Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007",

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Bouzeghoub, A, Do, KN & Lecocq, C 2007, Contextual adaptation of learning resources. in IA Sanchez (ed.), Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007. Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, IADIS Press, pp. 41-48, 2007 IADIS International Conference Mobile Learning, ML 2007 - Part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, Lisbon, Portugal, 5/07/07.

Contextual adaptation of learning resources. / Bouzeghoub, Amel; Do, Kien Ngoc; Lecocq, Claire.
Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007. ed. / Inmaculada Arnedillo Sanchez. IADIS Press, 2007. p. 41-48 (Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007).

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

TY - GEN

T1 - Contextual adaptation of learning resources

AU - Bouzeghoub, Amel

AU - Do, Kien Ngoc

AU - Lecocq, Claire

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Pervasive learning systems must define new mechanisms to deliver the right resource, at the right time, at the right place to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user activity, user environment and device capacity. This paper presents our approach which involves modeling of context and of situation. As context is based on numerous information which may change frequently (coming from a collection of captors), a more aggregate view is defined to work on more abstract objects: the situation. Context information and situation information have to be widespread into all the models of learning systems: context preferences have to be handled in the learner model, well-adapted situation and situation have to be in the learning resource model. The process of delivering and of adaptation is also enhanced by introducing the comparison between situations. A prototype validates this proposition.

AB - Pervasive learning systems must define new mechanisms to deliver the right resource, at the right time, at the right place to the right learner. This means that rich context information has to be considered: time, place, user knowledge, user activity, user environment and device capacity. This paper presents our approach which involves modeling of context and of situation. As context is based on numerous information which may change frequently (coming from a collection of captors), a more aggregate view is defined to work on more abstract objects: the situation. Context information and situation information have to be widespread into all the models of learning systems: context preferences have to be handled in the learner model, well-adapted situation and situation have to be in the learning resource model. The process of delivering and of adaptation is also enhanced by introducing the comparison between situations. A prototype validates this proposition.

KW - Adaptation

KW - Context

KW - Learning resources

KW - Personalization

KW - Pervasive learning

KW - User profile

M3 - Conference contribution

AN - SCOPUS:67650531293

T3 - Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007

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EP - 48

BT - Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007

A2 - Sanchez, Inmaculada Arnedillo

PB - IADIS Press

T2 - 2007 IADIS International Conference Mobile Learning, ML 2007 - Part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007

Y2 - 5 July 2007 through 7 July 2007

ER -

Bouzeghoub A, Do KN, Lecocq C. Contextual adaptation of learning resources. In Sanchez IA, editor, Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007. IADIS Press. 2007. p. 41-48. (Proceedings of the IADIS International Conference Mobile Learning, ML 2007 - Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007).

Contextual adaptation of learning resources

Abstract

Publication series

Conference

Keywords

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