We investigate whether four metacognitive metrics derived from student correctness and uncertainty values are predictive of student learning in a fully automated spoken dialogue co...
Abstract. This paper presents a novel proof-theoretic account of dialogue coherfocuses on an abstract class of cooperative information-oriented dialogues and describes how their st...
Results presented in this paper strongly support the notion that similarities as well as differences in language systems can be empirically investigated by looking into the lingui...
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Regulus is an Open Source platform that supports construction of rule-based medium-vocabulary spoken dialogue applications. It has already been used to build several substantial s...
Nikos Tsourakis, Maria Georgescul, Pierrette Bouil...