Dialogue-Learning Correlations in Spoken Dialogue Tutoring

被引:0
|
作者
Forbes-Riley, Kate [1 ]
Litman, Diane [1 ]
Huettner, Alison [1 ]
Ward, Arthur [1 ]
机构
[1] Univ Pittsburgh, Ctr Learning Res & Dev, Pittsburgh, PA 15260 USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We examine correlations between dialogue characteristics and learning in two corpora of spoken tutoring dialogues: a human-human corpus and a human-computer corpus, both of which have been manually annotated with dialogue acts relative to the tutoring domain. The results from our human-computer corpus show that the presence of student utterances that display reasoning, as well as the presence of reasoning questions asked by the computer tutor, both positively correlate with learning. The results from our human-human corpus show that the introduction of a new concept into the dialogue by students positively correlates with learning, but student attempts at deeper reasoning do not, and the human tutor's attempts to direct the dialogue negatively correlate with learning.
引用
收藏
页码:225 / 232
页数:8
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