Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective?

被引:11
作者
Albacete, Patricia [1 ]
Jordan, Pamela [1 ]
Katz, Sandra [1 ]
机构
[1] Univ Pittsburgh, Ctr Learning Res & Dev, Pittsburgh, PA 15260 USA
来源
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015 | 2015年 / 9112卷
关键词
ITS; Natural-language tutoring systems; Physics education; GENDER;
D O I
10.1007/978-3-319-19773-9_1
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
We present an initial field evaluation of Rimac, a natural-language tutoring system which implements decision rules that simulate the highly interactive nature of human tutoring. We compared this rule-driven version of the tutor with a non-rule-driven control in high school physics classes. Although students learned from both versions of the system, the experimental group outperformed the control group. A particularly interesting finding is that the experimental version was especially beneficial for female students.
引用
收藏
页码:3 / 12
页数:10
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