Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Abstract. Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Teachers know their students because they interact with them face-to...
We present a novel fine-grained semantic representation of text and an approach to constructing it. This representation is largely extractable by today's technologies and fac...
Rodney D. Nielsen, Wayne Ward, James H. Martin, Ma...
NL interaction and skillful hinting are known as cornerstones for successful tutoring. Despite these insights, a combination of these two factors is widely under-represented in th...
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...