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Detecting and reflecting learning activities in personal learning environments

 
: Nussbaumer, A.; Scheffel, M.; Niemann, K.; Kravcik, M.; Albert, D.

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Volltext (PDF; )

Moore, A.; Pammer, V.; Pannese, L.; Prilla, M.; Rajagopal, K.; Reinhardt, W.; Ullmann, T.D.; Voigt, Christian:
ARTEL12, Awareness and Reflection in Technology-Enhanced Learning : Proceedings of the 2nd Workshop on Awareness and Reflection in Technology-Enhanced Learning in conjunction with the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012). Saarbrücken, Germany, September 18, 2012
Saarbrücken, 2012 (CEUR Workshop Proceedings 931)
URN: urn:nbn:de:0074-931-0
S.125-131
Workshop on Awareness and Reflection in Technology-Enhanced Learning (ARTEL) <2, 2012, Saarbrücken>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()

Abstract
This paper presents an approach for supporting awareness and reflection of learners about their cognitive and meta cognitive learning activities. In addition to capture and visualise observable data about the learning behaviour this approach intends to make the leaner aware of their non observable learning activities. A technical approach and partial implementation is described, how observable data are used to support reflection and awareness about non observable learning activities. Basis for the technical solution is the extraction of key actions from log data of the interaction of users with resources.Furthermore a taxonomy of learning activities derived from selfregulated learning theory is used for matching its elements with actually performed actions.

: http://publica.fraunhofer.de/dokumente/N-350360.html