AutoTutor: An intelligent tutoring system with mixed-initiative dialogue

被引：305

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

页码：612 / 618

页数：7

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