Collaborative filtering in eLearning applications
2008 - 2009
Collaborative information filtering techniques play a key role in many Web 2.0 applications but are mainly used for business purposes such as product recommendation. In this project, we developed a collaborative filtering approach which is specifically designed for eLearning applications. A controlled lab study with the system confirmed that the underlying algorithm is suitable as a diagnostic tool, and field studies substantiated the educational effectiveness.
Personen
Veröffentlichungen
N. Pinkwart and F. Loll. Comparing Three Approaches to Assess the Quality of Student's Solutions. Proceedings of the Workshop on Ontologies and Social Semantic Web for Intelligent Educational Systems at the 14th International Conference on Artificial Intelligence in Education (AIED), 2009. F. Loll and N. Pinkwart. Using Collaborative Filtering Algorithms as eLearning Tools. Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS), IEEE Computer Society Press, 2009. F. Loll and N. Pinkwart. CITUC: Automatisierte Lösungsbewertung im E-Learning durch kollaboratives Filtern. Tagungsband 2 der 9. Internationalen Tagung Wirtschaftsinformatik (WI), Österreichische Computer Gesellschaft, 2009. F. Loll and N. Pinkwart. Disburdening Tutors in E-Learning Environments via Web 2.0 Techniques. Semantic Web Technologies for e-Learning, IOS Press, 2009. F. Loll. Konzeption und Evaluierung von kollaborativen Filteralgorithmen im eLearning. 2008.