ReMashed --- Recommendations for Mash-Up Personal Learning Environments

Authors:
Hendrik Drachsler;Dries Pecceu;Tanja Arts;Edwin Hutten;Lloyd Rutledge;Peter Rosmalen;Hans Hummel;Rob Koper
Affiliations:
Centre for Learning Sciences and Technologies, Open University of the Netherlands,;Computer Science Department, Open University of the Netherlands, Heerlen, The Netherlands 6401;Computer Science Department, Open University of the Netherlands, Heerlen, The Netherlands 6401;Computer Science Department, Open University of the Netherlands, Heerlen, The Netherlands 6401;Computer Science Department, Open University of the Netherlands, Heerlen, The Netherlands 6401;Centre for Learning Sciences and Technologies, Open University of the Netherlands,;Centre for Learning Sciences and Technologies, Open University of the Netherlands,;Centre for Learning Sciences and Technologies, Open University of the Netherlands,
Venue:
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Year:
2009

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Abstract

The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network. In ReMashed learners can specify certain Web2.0 services and combine them in a Mash-Up Personal Learning Environment. Learners can rate information from an emerging amount of Web2.0 information of a Learning Network and train a recommender system for their particular needs. ReMashed therefore has three main objectives: 1. to provide a recommender system for Mash-up Personal Learning Environments to learners, 2. to offer an environment for testing new recommendation approaches and methods for researchers, and 3. to create informal user-generated content data sets that are needed to evaluate new recommendation algorithms for learners in informal Learning Networks.