This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE frame...
Katherine Forbes-Riley, Diane J. Litman, Amruta Pu...
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring system, in which student uncertainty was manually annotated in real-time. We detail ...
Katherine Forbes-Riley, Diane J. Litman, Scott Sil...
We evaluate the impact of tutor voice quality in the context of our intelligent tutoring spoken dialogue system. We first describe two versions of our system which yielded two cor...
Katherine Forbes-Riley, Diane J. Litman, Scott Sil...
We are exploring the differences between expert and less expert tutors with two goals: cognitive (what does tutoring tell us about learning) and applied (which features of tutorin...
Barbara Di Eugenio, Trina C. Kershaw, Xin Lu, Andr...