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MOT 2.0 : a case study on the usefuleness of social modeling for personalized e-learning systems

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Ghali, Fawaz and Cristea, Alexandra I. (2009) MOT 2.0 : a case study on the usefuleness of social modeling for personalized e-learning systems. In: 14th International Conference on Artificial Intelligence in Education (AIED 2009), Brighton, England, July 06-10, 2009. Published in: Frontiers in Artificial Intelligence and Applications, Vol.200 pp. 333-340.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.3233/978-1-60750-028-5-333

Abstract

In this paper, we report on our findings from the first evaluation of MOT 2.0, an Adaptive Web 2.0 e-learning tool, which supports: 1) collaborative authoring (i.e. editing content of other users, describing content using tags, rating, commenting on the content, etc); 2) authoring for collaboration (i.e., adding author activities, such as defining groups of authors, subscribing to other authors, communication between authors, etc); 3) group-based adaptive authoring via group-based privileges; 4) social annotation i.e., tagging, rating, and feedback on the content via group-based privileges; 5) adaptive authoring, by recommending related content and/or other authors; adaptive delivery based on users' activities. Our main contributions are: 1) defining a new social layer in LAOS, a five-layer model for generic adaptive hypermedia authoring; 2) removing the barrier between tutors, learners and authors, which all become authors, with different sets of privileges; 3) adding the power of group-based authoring to the course creating.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Series Name: Frontiers in Artificial Intelligence and Applications
Journal or Publication Title: Frontiers in Artificial Intelligence and Applications
Publisher: I O S Press
ISBN: 978-1-60750-028-5
ISSN: 0922-6389
Editor: Dimitrova, V and Mizoguchi, R and DuBoulay, B and Graesser, A
Date: 2009
Volume: Vol.200
Number of Pages: 8
Page Range: pp. 333-340
Identification Number: 10.3233/978-1-60750-028-5-333
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Title of Event: 14th International Conference on Artificial Intelligence in Education (AIED 2009)
Type of Event: Conference
Location of Event: Brighton, England
Date(s) of Event: July 06-10, 2009
URI: http://wrap.warwick.ac.uk/id/eprint/16607

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