Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A conceptual map model for developing intelligent tutoring systems
Computers & Education
Evaluating students' learning achievement using fuzzy membership functions and fuzzy rules
Expert Systems with Applications: An International Journal
Automatically constructing concept maps based on fuzzy rules for adapting learning systems
Expert Systems with Applications: An International Journal
Automatically constructing grade membership functions of fuzzy rules for students' evaluation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Learning barriers diagnosis based on fuzzy rules for adaptive learning systems
Expert Systems with Applications: An International Journal
An improved association rules mining method
Expert Systems with Applications: An International Journal
Artificial Intelligence Review
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Constructing concept maps for adaptive learning systems based on data mining techniques
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
It is obvious that to construct concept maps for providing the learning guidance to learners is an important research topic of adaptive learning systems. Because the existing method to construct concept maps only considers the association rules that questions are not correctly answered, it will miss some information about questions that are correctly answered by the learners. Moreover, the existing method also has the drawback that it will build unnecessary relationships or lose some relationships between concepts in the constructed concept maps. In this paper, we present a new method to automatically construct concept maps based on data mining techniques for adaptive learning systems. The proposed method can overcome the drawbacks of the existing method. It provides us a useful way to automatically construct concept maps in adaptive learning systems.