Drummond, J and Litman, D
(2010)
In the zone: Towards detecting student zoning out using supervised machine learning.
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UNSPECIFIED
UNSPECIFIED, 306 - 308.
ISBN 364213436X, 9783642134364
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Abstract
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classification models, built on prosodic and lexical features. Our results suggest these features create models that can outperform a Bag of Words baseline. © 2010 Springer-Verlag.
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