We investigate how positive, neutral and negative feedback responses from an Intelligent Tutoring System (ITS) influences learners‟ affect and physiology. AutoTutor, an ITS with ...
Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi...
We present Beetle II, a tutorial dialogue system designed to accept unrestricted language input and support experimentation with different tutorial planning and dialogue strategies...
Myroslava Dzikovska, Diana Bental, Johanna D. Moor...
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...
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
This work is the first systematic investigation of initiative in human-human tutorial dialogue. We studied initiative management in two dialogue strategies: didactic tutoring and...