2013 | OriginalPaper | Chapter
On Self-adapting Recommendations of Curricula for an Individual Learning Experience
Authors : Sebastian Bab, Luise Kranich
Published in: Scaling up Learning for Sustained Impact
Publisher: Springer Berlin Heidelberg
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We propose ideas for the development of TEL systems which allow for an automatic, dynamic and self-adapting recommendation of curricula from a wide set of available content for an individual user and with regard to a specific purpose. We argue that recommender systems in the prevalent occurrence cannot be used directly in TEL systems, but must be extended by process-related techniques for continuous optimization and adaptation of the generated curriculum.