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Author Cade, Whitney L. ♦ Lehman, Blair A. ♦ Olney, Andrew
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Previous Coding Scheme ♦ Interactive Problem ♦ Orient Future Research ♦ Topical Dimension ♦ Topic Serf ♦ Linguistic Inquiry ♦ Word Count ♦ Topic Conversation ♦ Broad Pedagogy ♦ Noisy Data Set
Description In a corpus of expert tutoring dialogue, conversation that is considered to be “off topic” (non-pedagogical) according to a previous coding scheme is explored for its value in tutoring dynamics. Using the Linguistic Inquiry and Word Count (LIWC) tool, phases of tutoring categorized as “off topic ” were compared with interactive problem solving phases to explore how the two differ on the emotional, psychological, and topical dimensions analyzed by LIWC. The results suggest that conversation classified as “off topic ” serves as motivation and broad pedagogy in tutoring. These findings can be used to orient future research on “off topic ” conversation, and help to make sense of both previous coding schemes and noisy data sets. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2010-01-01
Publisher Institution In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 669-672. Association for Computational Linguistics