Videolectures over the Internet started at the turn of the century and became more and more popular, until they recently obtained a wide echo in the form of Massive Open On-Line Courses (MOOCs). Although videolecture usage data have always been important, in the case of MOOCs they are vital for the success of the initiative. In the present paper, we suggest that some (already available) tools for the extraction of semantic information from the video should be used, as they may vastly improve the meaningfulness of the information extracted from videolecture analytics.

Videolectures Ingredients that can Make Analytics Effective

Ronchetti, Marco
2013-01-01

Abstract

Videolectures over the Internet started at the turn of the century and became more and more popular, until they recently obtained a wide echo in the form of Massive Open On-Line Courses (MOOCs). Although videolecture usage data have always been important, in the case of MOOCs they are vital for the success of the initiative. In the present paper, we suggest that some (already available) tools for the extraction of semantic information from the video should be used, as they may vastly improve the meaningfulness of the information extracted from videolecture analytics.
2013
Proceedings of the Workshop on Analytics on Video-Based Learning (WAVe 2013)
AACHEN, Germania
CEUR
Ronchetti, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/101245
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