Constructing concept maps for adaptive learning systems based on data mining techniques
In this paper, we propose a new method for automatically constructing concepts maps for adaptive learning systems based on data mining techniques. First, we calculate the counter values between any two questions, where the counter values indicate the answer-consistence between any two questions. Then, we consider four kinds of association rules between two questions to mine some information. Finally, we calculate the relevance degree between two concepts derived from the association rule to construct concept maps for adaptive learning systems. The proposed method can overcome the drawbacks of Chen and Bais (2010) and Lee et al.s method (2009). It provides us with a useful way to construct concept maps for adaptive learning systems based on data mining techniques.
concept maps adaptive learning systems data mining association rules questions-relationship map