A two-phase Fuzzy mining and learning algorithm for adaptive learning environment

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Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4730

Title:	A two-phase Fuzzy mining and learning algorithm for adaptive learning environment
Authors:	C. J. Tsai;S. S. Tseng;C. Y. Lin
Contributors:	Department of Information Science and Applications
Date:	2001
Issue Date:	2009-11-30 08:03:19 (UTC+0)
Publisher:	Asia University
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.
Relation:	Lecture notes in computer science 2074 Part II:429-438
Appears in Collections:	[Department of Applied Informatics and Multimedia] Journal Article

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