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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/3846

Title: dataTEL - Datasets for Technology Enhanced Learning
Other Titles: STELLAR Alpine Rendez-Vous White Paper
Authors: Drachsler, Hendrik
Verbert, Katrien
Sicilia, Miguel-Angel
Wolpers, Martin
Manouselis, Nikos
Vuorikari, Riina
Lindstaedt, Stefanie
Fischer, Frank
Keywords: adaptive learning environments
recommender systems
Personalized learning
educational datasets
datasets
data driven applications
Issue Date: 8-Dec-2011
Abstract: The dataTEL white paper develop during the dataTEL workshop at the ARV2011. The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications and recommender systems that support personalised learning are hardly comparable. In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can be successfully applied in a certain learning setting to personalise learning. Having a collection of datasets could be a first major step towards a theory of personalisation within TEL that can be based on empirical experiments with verifiable and valid results. Therefore, the main objective of the dataTEL workshop was to explore suitable datasets for TEL with a specific focus on recommender and adaptive information systems that can take advantage of these datasets. In this context, new challenges emerge like unclear legal protection rights and privacy issues, suitable policies and formats to share data, required preprocessing procedures and rules to create sharable datasets, common evaluation criteria for recommender systems in TEL and how a dataset driven future in TEL could look like.
Description: Drachsler, H., Verbert, K., Sicilia, M. A., Wolpers, M., Manouselis, N., Vuorikari, R., Lindstaedt, S., & Fischer, F. (2011). dataTEL - Datasets for Technology Enhanced Learning. STELLAR Alpine Rendez-Vous White Paper. Alpine Rendez-Vous 2011 White paper collection, Nr. 13., France (2011) Accessible at: http://oa.stellarnet.eu/open-archive/browse?resource=6756_v1
URI: http://hdl.handle.net/1820/3846
Appears in Collections:1. LN: Publications and Preprints

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