Using data mining techniques to automatically construct concept maps for adaptive learning systems

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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.

论文关键词:Adaptive learning systems,Apriori algorithm,Concept maps,Concepts-relationship analysis,Data mining

论文评审过程:Available online 17 December 2009.

论文官网地址:https://doi.org/10.1016/j.eswa.2009.12.060