Temporal Data Mining for Educational Applications-Reference-Cited by-同舟云学术

Temporal Data Mining for Educational Applications

Published:2008 Issue: Volume: Page:66-77
ISSN:0302-9743
Container-title:PRICAI 2008: Trends in Artificial Intelligence
language:
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Author:

Beal Carole R.,Cohen Paul R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-89197-0_10

Reference11 articles.

1. (Retrieved July 8, 2006), http://www.ed.gov/nclb/landing.jhtml

2. Beal, C.R., Qu, L., Lee, H.: Classifying learner engagement through integration of multiple data sources. In: Proceedings of the 21st National Conference on Artificial Intelligence. AAAI Press, Menlo Park (2006)

3. Koedinger, K.R., Corbett, A.T., Ritter, S., Shapiro, L.J.: Carnegie Learnings Cognitive Tutor: Summary of research results. Carnegie Learning, Pittsburgh (2000)

4. Lecture Notes in Artificial Intelligence;R.S. Baker,2005

5. Beck, J.: Engagement tracing: Using response times to model student disengagement. In: Looi, C., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology, pp. 88–95. IOS Press, Amsterdam (2005)

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