An Apriori-Based Approach for Teaching Evaluation

Intelligent evaluation， as an important branch in the field of artificial intelligence， is a decision-making process of simulating the domain experts to solve complex problems. In this paper, we puts forward a kind of intelligent evaluation method based on improved Apriori, which can be used to mine different levels of association rules and evaluate the teaching quality automatically. Firstly, we do some improvement on traditional Apriori algorithm due to its shortcomings. Secondly, we describe the procedure of the teaching quality evaluation based on such improved algorithm. Finally, we give an example and the results show that this method is feasible and effective.