The aim of Reps4TEL is to connect researchers, educators and technology experts giving them the opportunity to share and discuss new solutions, trends and realizations concerning recommender systems for Technology-Enhanced Learning environments and the adoption of emerging technologies in educational settings such as learning process personalization, adaptive retrieval of learning objects, student and teacher modeling.

This workshop invites researchers and practitioners to submit research papers and work in progress investigating recommender systems for eLearning environment.

We encourage particularly the submission of articles where recommendations and automated support is given to:

- Teachers, such as in the construction of courses by the selection of relevant learning resources retrieved on the web

- Students, such as in the case of course adaptation, or help in making individual decisions about what learning experience to select, out of several, possibly pedagogically equivalent, available ones

- Communities, basing of their inner dynamics