Student Emotions

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. We first annotate student turns in our …...

We examine the utility of speech and lexical fea- tures for predicting student emotions in computer- human spoken tutoring dialogues. We first anno- tate student turns for negative, neutral, positive …...