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Cohesion, Semantics and Learning in Reflective Dialog

Ward, Arthur and Connelly, John and Katz, Ra and Litman, Diane J and Wilson, Christine (2009) Cohesion, Semantics and Learning in Reflective Dialog. In: AIED Workshop on Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity,, Brighton, UK.

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Abstract

A corpus of reflective tutorial dialogs was tagged for cohesive relationships between student and tutor. We describe our tagging scheme, and show that certain cohesive features of tutoring dialog are correlated with learning in our corpus. In particular, our semantic cohesive relationship tags are significant predictors of learning, while our lexical tag is not. We find that “abstractive ” dialog moves, in which the student or tutor repeats the other’s previous utterance but at a greater level of generality, are significant positive predictors of learning. We also find that tutor moves which repeat the student’s previous utterance but in a less abstract way predict learning in our corpus. These findings suggest that tracking student dialogue moves can enhance student modeling and guide planning of effective naturallanguage dialogues.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ward, Arthur
Connelly, John
Katz, Ra
Litman, Diane Jdlitman@pitt.eduDLITMAN
Wilson, Christine
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 2009
Date Type: Publication
Event Title: AIED Workshop on Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity,
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Date Deposited: 18 Dec 2014 14:53
Last Modified: 31 Jul 2020 19:08
URI: http://d-scholarship.pitt.edu/id/eprint/23166

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