Learning how to teach from “Videolectures”: automatic prediction of lecture ratings based on teacher's nonverbal behavior

Abstract

Large repositories of presentation recordings (e.g., “Videolectures” and “Academic Earth”) often provide their users with rating facilities. The rating of a presentation certainly depends on the content, but the way the content is delivered is likely to play a role as well. This paper focuses on the latter aspect and shows that… (More)

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Cite this paper

@article{Salvagnini2012LearningHT, title={Learning how to teach from “Videolectures”: automatic prediction of lecture ratings based on teacher's nonverbal behavior}, author={Pietro Salvagnini and Hugues Salamin and Marco Cristani and Alessandro Vinciarelli and Vittorio Murino}, journal={2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)}, year={2012}, pages={415-419} }