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TLT
2010

Recommendations in Online Discussion Forums for E-Learning Systems

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Recommendations in Online Discussion Forums for E-Learning Systems
—In this paper, we outline the importance of discussion fora for e-learning applications. Due to a weak structure or size of the discussion forum, recommendations are required in order to help learners finding relevant information within a forum. We present a generic personalization framework and evaluate the framework based on a recommender architecture for the e-learning focused discussion forum Comtella-D. In the evaluation, we examine different sources of user feedback and the required amount of user interaction to provide recommendations. The outcomes of the evaluation serve as source for a personalization rule, which selects the most appropriate recommendation strategy based on available user input data. We furthermore conclude that collaborative filtering techniques can be utilize successfully in small data sets, like e-learning related discussion fora.
Fabian Abel, Ig Ibert Bittencourt, Evandro de Barr
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where TLT
Authors Fabian Abel, Ig Ibert Bittencourt, Evandro de Barros Costa, Nicola Henze, Daniel Krause, Julita Vassileva
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