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AIED
2007
Springer
15 years 3 months ago
Emotions and Learning with AutoTutor
The relationship between emotions and learning was investigated by tracking the emotions that college students experienced while learning about computer literacy with AutoTutor. Au...
Arthur C. Graesser, Patrick Chipman, Brandon King,...
59
Voted
AIED
2007
Springer
15 years 3 months ago
Beyond the code-and-count analysis of tutoring dialogues
In this paper, we raise a methodological issue concerning the empirical analysis of tutoring dialogues: The frequencies of tutoring moves do not necessarily reveal their causal efï...
Stellan Ohlsson, Barbara Di Eugenio, Bettina Chow,...
90
Voted
NAACL
2004
14 years 11 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
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...
Katherine Forbes-Riley, Diane J. Litman
91
Voted
CHI
1998
ACM
15 years 1 months ago
What can I say? Evaluating a Spoken Language Interface to Email
This paper presents experimental results comparing two different designs for a spoken language interface to email. We compare a mixed-initiative dialogue style, in which users can...
Marilyn A. Walker, Jeanne Fromer, Giuseppe Di Fabb...
90
Voted
LREC
2010
186views Education» more  LREC 2010»
14 years 11 months ago
WITcHCRafT: A Workbench for Intelligent exploraTion of Human ComputeR conversaTions
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...