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.
Additional Search Keywords
empirical analysis, learner discourse, collaborative learning, intelligent
agent
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