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AIED
2007
Springer
13 years 10 months ago
Comparing Linguistic Features for Modeling Learning in Computer Tutoring
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...
FLAIRS
2006
13 years 5 months ago
Toward a Computational Model of Expert Tutoring: A First Report
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...
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
13 years 9 months ago
Spoken Versus Typed Human and Computer Dialogue Tutoring
While human tutors typically interact with students using spoken dialogue, most computer dialogue tutors are text-based. We have conducted two experiments comparing typed and spoke...
Diane J. Litman, Carolyn Penstein Rosé, Kat...
COLING
2010
12 years 11 months ago
Learning to Predict Readability using Diverse Linguistic Features
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our system is trained using diverse features based on syntax and l...
Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan...
ACL
2004
13 years 5 months ago
Predicting Student Emotions in Computer-Human Tutoring Dialogues
We examine the utility of speech and lexical features for predicting student emotions in computerhuman spoken tutoring dialogues. We first annotate student turns for negative, neu...
Diane J. Litman, Katherine Forbes-Riley