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AutoTutor

AutoTutor

Arthur C. Graesser, Sidney D’Mello, Xiangen Hu, Zhiqiang Cai, Andrew Olney, Brent Morgan
Copyright: © 2012 |Pages: 19
ISBN13: 9781609607418|ISBN10: 1609607414|EISBN13: 9781609607425
DOI: 10.4018/978-1-60960-741-8.ch010
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MLA

Graesser, Arthur C., et al. "AutoTutor." Applied Natural Language Processing: Identification, Investigation and Resolution, edited by Philip M. McCarthy and Chutima Boonthum-Denecke, IGI Global, 2012, pp. 169-187. https://doi.org/10.4018/978-1-60960-741-8.ch010

APA

Graesser, A. C., D’Mello, S., Hu, X., Cai, Z., Olney, A., & Morgan, B. (2012). AutoTutor. In P. McCarthy & C. Boonthum-Denecke (Eds.), Applied Natural Language Processing: Identification, Investigation and Resolution (pp. 169-187). IGI Global. https://doi.org/10.4018/978-1-60960-741-8.ch010

Chicago

Graesser, Arthur C., et al. "AutoTutor." In Applied Natural Language Processing: Identification, Investigation and Resolution, edited by Philip M. McCarthy and Chutima Boonthum-Denecke, 169-187. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-741-8.ch010

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Abstract

AutoTutor is an intelligent tutoring system that helps students learn science, technology, and other technical subject matters by holding conversations with the student in natural language. AutoTutor’s dialogues are organized around difficult questions and problems that require reasoning and explanations in the answers. The major components of AutoTutor include an animated conversational agent, dialogue management, speech act classification, a curriculum script, semantic evaluation of student contributions, and electronic documents (e.g., textbook and glossary). This chapter describes the computational components of AutoTutor, the similarity of these components to human tutors, and some challenges in handling smooth dialogue. We describe some ways that AutoTutor has been evaluated with respect to learning gains, conversation quality, and learner impressions. AutoTutor is sufficiently modular that the content and dialogue mechanisms can be modified with authoring tools. AutoTutor has spawned a number of other agent-based learning environments, such as AutoTutor-lite, Operation Aries!, and Guru.

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