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An Empirical Analysis of Learner Discourse

March 2003

Bradley Goodman, The MITRE Corporation
Robert Gaimari, The MITRE Corporation
Guido Zarrella, The MITRE Corporation
Frank Linton, The MITRE Corporation

ABSTRACT

We report the results of an empirical analysis of learner discourse wherein we analyze the utility of domain keywords in determining the topics of conversation. The results provide a foundation for agent-based feedback to learners in a collaborative learning environment. We also track user actions on a graphical user interface to determine learners' progress and the quality of their designs.

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Additional Search Keywords

empirical analysis, learner discourse, collaborative learning, intelligent agent

 

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