Tutorial Dialogue Modes in a Large Corpus of Online Tutoring Transcripts

Tutorial Dialogue Modes in a Large Corpus of Online Tutoring Transcripts
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大量在线辅导成绩单中的辅导对话模式

DOI:
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发表时间:
2015
期刊:
International Conference on Artificial Intelligence in Education
影响因子:
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通讯作者:
Kenneth B. Miller
Kenneth B. Miller
中科院分区:
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文献类型:
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作者:
D. M. Morrison;Benjamin D. Nye;V. Rus;Sarah Snyder;Jennifer Boller;Kenneth B. Miller

文献摘要

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Building on previous work in this area, we provide a description and justification for a new way of identifying modes and mode switches in tutorial dialogues, part of a coding scheme involving 16 modes and 125 distinct dialogue acts. We also present preliminary results from an analysis of 1,438 human-annotated transcripts, consisting of more than 90,000 turns. Among other findings, this analysis shows subtle differences in the “mode architecture” of successful vs. less successful sessions, as judged by expert tutors.