In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning [chapter]

Joanna Drummond, Diane Litman
2010 Lecture Notes in Computer Science  
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.
doi:10.1007/978-3-642-13437-1_53 fatcat:wnq4xtlcm5g4dfrms2n4t75wqa