Abstract
As computer-assisted instruction environment becomes more popular over the world, the analysis of historical learning records of students becomes more important. In this work, we propose a Two-Phase Fuzzy Mining and Learning Algorithm, integrating data mining algorithm, fuzzy set theory, and look ahead mechanism, to find the embedded information, which can be provided to teachers for further analyzing, refining or reorganizing the teaching materials and tests, from historical learning records.
Author supplied keywords
Cite
CITATION STYLE
Tsai, C. J., Tseng, S. S., & Lin, C. Y. (2001). A two-phase fuzzy mining and learning algorithm for adaptive learning environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2074, pp. 429–438). Springer Verlag. https://doi.org/10.1007/3-540-45718-6_47
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
