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Social reference model for adaptive web learning

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Ghali, Fawaz and Cristea, Alexandra I. (2009) Social reference model for adaptive web learning. In: 8th International Conference on Web Based Learning (ICWL 2009), Aachen, Germany, AUG 19-21, 2009. Published in: Lecture Notes in Computer Science, Vol.5686 pp. 162-171.

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Official URL: http://dx.doi.org/10.1007/978-3-642-03426-8

Abstract

In this paper, we describe the design steps of extending LAOS, a five-layer framework for generic adaptive web learning authoring, by adding a social layer to capture (and adapt) information from 1) collaborative authoring (i.e. editing the content of other learners, describing the content using tags, rating the content, and commenting on the content, etc); and 2) authoring for collaboration (i.e., adding authors' activities, such as defining groups of authors, subscribing to other authors, etc). Moreover, the paper presents MOT 2.0, an adaptive E-learning 2.0 system, which is built on the proposed reference model, and finally, we report on our evaluations to validate the new Social Layer by comparing MOT 2.0 with its predecessor, MOT 1.0.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Series Name: Lecture Notes in Computer Science
Journal or Publication Title: Lecture Notes in Computer Science
Publisher: Springer
ISBN: 978-3-642-03425-1
ISSN: 0302-9743
Editor: Spaniol, M and Li, Q and Klamma, R and Lau, RWH
Date: 2009
Volume: Vol.5686
Number of Pages: 10
Page Range: pp. 162-171
Identification Number: 10.1007/978-3-642-03426-8
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Socrates Minerva ALS Project, GRAPPLE IST project
Conference Paper Type: Paper
Title of Event: 8th International Conference on Web Based Learning (ICWL 2009)
Type of Event: Conference
Location of Event: Aachen, Germany
Date(s) of Event: AUG 19-21, 2009
URI: http://wrap.warwick.ac.uk/id/eprint/17232

Data sourced from Thomson Reuters' Web of Knowledge

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