Expert vs. Non-expert Tutoring: Dialogue Moves, Interaction Patterns and Multi-utterance Turns

Authors:
Xin Lu;Barbara Eugenio;Trina C. Kershaw;Stellan Ohlsson;Andrew Corrigan-Halpern
Affiliations:
University of Illinois at Chicago, Chicago IL, USA;University of Illinois at Chicago, Chicago IL, USA;University of Massachusetts Dartmouth, North Dartmouth MA, USA;University of Illinois at Chicago, Chicago IL, USA;University of Illinois at Chicago, Chicago IL, USA
Venue:
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2009

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Abstract

Studies of one-on-one tutoring have found that expert tutoring is more effective than non-expert tutoring, but the reasons for its effectiveness are relatively unexplored. Since tutoring involves deep natural language interactions between tutor and student, we explore the differences between an expert and non-expert tutors through the analysis of individual dialogue moves, tutorial interaction patterns and multi-utterance turns. Our results are a first step showing what behaviors constitute expertise and provide a basis for modeling effective tutorial language in intelligent tutoring systems.