AutoTutor: An intelligent tutoring system with mixed-initiative dialogue

被引：294
|
作者：
Graesser, AC [1 ]
Chipman, P [1 ]
Haynes, BC [1 ]
Olney, A [1 ]
机构：
[1] Memphis State Univ, Memphis, TN 38152 USA
来源：
IEEE TRANSACTIONS ON EDUCATION | 2005年 / 48卷 / 04期
基金：
美国国家科学基金会;
关键词：
conversational agents; intelligent tutoring systems; natural language dialogue; STEM learning; tutoring;
D O I：
10.1109/TE.2005.856149
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
AutoTtitor simulates a human tutor by holding a conversation with the learner in natural language. The dialogue is augmented by an animated conversational agent and three-dimensional (3-D) interactive simulations in order to enhance the learner's engagement and the depth of the learning. Grounded in constructivist learning theories and tutoring research, AutoTbtor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition. The computational architecture of the system uses the.NET framework and has simplified deployment for classroom trials.
引用
收藏
页码：612 / 618
页数：7
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