Analytics on video-based learning

Authors:
Michail N. Giannakos;Konstantinos Chorianopoulos;Marco Ronchetti;Peter Szegedi;Stephanie D. Teasley
Affiliations:
Norwegian University of Science and Technology, Trondheim, Norway;Ionian University, Corfu, Greece;Università di Trento, Povo di Trento, Italy;Trans European Research and Education Network Association (TERENA), Amsterdam, The Netherlands;University of Michigan, Ann Arbor, MI
Venue:
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Year:
2013

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Abstract

The International Workshop on Analytics on Video-based Learning (WAVe2013) aims to connect research efforts on Video-based Learning with Learning Analytics to create visionary ideas and foster synergies between the two fields. The main objective of WAVe is to build a research community around the topical area of Analytics on video-based learning. In particular, WAVe aims to develop a critical discussion about the next generation of analytics employed on video learning tools, the form of these analytics and the way they can be analyzed in order to help us to better understand and improve the value of video-based learning. WAVe is based on the rationale that combining and analyzing learners' interactions with other available data obtained from learners, new avenues for research on video-based learning have emerged.