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Published in:
2010 | OriginalPaper | Chapter
LABTA: An Agent-Based Intelligent Teaching Assistant for Experiment Courses
Author : Chao Yang
Published in: Advances in Web-Based Learning – ICWL 2010
Publisher: Springer Berlin Heidelberg
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This paper proposes an agent-based virtual teaching assistant, called LABTA. It can be applied to various experiment courses. LABTA provides students with the basic functionality for experiment courses: guiding, demonstrating, and explaining. LABTA supports both keyword and sentence based query and possesses an adaptive learning ability to gain knowledge from other agents or knowledge sources. The experimental results showed that LABTA is efficient to guide and assist students in solving their experimental problems.