Applying Data Mining Techniques to e-Learning Problems-Reference-Cited by-同舟云学术

Applying Data Mining Techniques to e-Learning Problems

Published:2007 Issue: Volume: Page:183-221
ISSN:1860-949X
Container-title:Evolution of Teaching and Learning Paradigms in Intelligent Environment
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Author:

Castro Félix,Vellido Alfredo,Nebot Àngela,Mugica Francisco

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-71974-8_8.pdf

Reference99 articles.

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3. Arroyo, I., Murray, T., Woolf, B., Beal, C.: Inferring Unobservable Learning Variables from Students’ Help Seeking Behavior. Lecture Notes in Computer Science, Vol. 3220. Springer, Berlin Heidelberg New York (2004) 782-784

4. Baker, M.: The Roles of Models in Artificial Intelligence and Education Research: A Prospective View. International Journal of Artificial Intelligence in Education 11 (2000) 122-143

5. Beck, J.E., Woolf, B.P.: High-Level Student Modeling with Machine Learning. In: Gauthier, G., et al. (eds.): Intelligent Tutoring Systems, ITS 2000. Lecture Notes in Computer Science, Vol. 1839. Springer, Berlin Heidelberg New York (2000) 584-593

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