ReMashed - An Usability Study of a Recommender System for Mash-Ups for Learning

Description

The following presentation shows a Mash-up Personal Learning Environment called ReMashed that recommends items from the emerging information of a Learning Network. In ReMashed users can specify certain Web 2.0 services and combine them in a Mash-Up Personal Learning Environment. The users can rate information from an emerging amount of Web 2.0 information of a Learning Network and train a recommender system for their particular needs. ReMashed therefore has three main goals: 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.

Period	Sept 2009
Event title	International Conference on Interactive Computer Aided Learning
Event type	Conference
Location	Villach, AustriaShow on map
Degree of Recognition	International