DocumentCode :
608055
Title :
A Recommendation Cascade for E-learning
Author :
Buncle, J. ; Anane, Rachid ; Nakayama, Makoto
Author_Institution :
Sch. of Comput. Sci., Univ. of Birmingham, Birmingham, UK
fYear :
2013
fDate :
25-28 March 2013
Firstpage :
740
Lastpage :
747
Abstract :
This paper is concerned with the presentation of a collaborative recommendation system that implements a cascade of strategies in order to support the learning process. Similarities between learners are determined by taking advantage of the underlying implicit or explicit personalization and of the non-personalised modes of interaction. In the personalised approach implicit profiles are based on the patterns of behaviour of learners, while explicit profiles are generated from the results of a questionnaire on learning style. The non-personalisation approach relies on the cumulative intervention of a community of learners implied by the recorded frequency of the usage of objects by learners, and by the expert rating of objects by teachers. Content-based and collaborative approaches are combined into a hybrid model that widens the range of objects to which a learner may be exposed. The quality of service of the recommendation system is evaluated by considering the accuracy of its predictive capability on a publicly available data set.
Keywords :
Internet; computer aided instruction; content management; groupware; quality of service; recommender systems; Web; collaborative approaches; collaborative recommendation system; content-based approaches; e-learning systems; educational material; explicit personalization; implicit personalization; learning process; learning style; predictive capability; quality-of-service; recommendation cascade; Buildings; Collaboration; Communities; Electronic learning; Filtering; Materials; Vectors; explicit profile; implicit profile; neighbourhood; personalisation; recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
Conference_Location :
Barcelona
ISSN :
1550-445X
Print_ISBN :
978-1-4673-5550-6
Electronic_ISBN :
1550-445X
Type :
conf
DOI :
10.1109/AINA.2013.142
Filename :
6531828
Link To Document :
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