We use a χ2 analysis on our spoken dialogue tutoring corpus to investigate dependencies between uncertain student answers and 9 dialogue acts the human tutor uses in his response ...
We describe the design and evaluation of two different dynamic student uncertainty adaptations in wizarded versions of a spoken dialogue tutoring system. The two adaptive systems...
We use χ2 to investigate the context dependency of student affect in our computer tutoring dialogues, targeting uncertainty in student answers in 3 automatically monitorable cont...
Katherine Forbes-Riley, Mihai Rotaru, Diane J. Lit...
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...