Data Mining Applied Research In The Teaching Quality Evaluation

The teaching quality, playing an important role in training students, affects the learning of student directly. Hence, most universities are seeking a better way to improve the teaching quality recently. However, it is difficult to discover all the relations among all the factors affecting the quality manually. Although some conventional methods such as manual statistics, analyzing and so on, can be used to detect the obvious relationship among the factors, the algorithms is failed to find out the hidden rules among the data. Fortunately, nowadays, those hidden rules could be acquired using the data mining easily, which make the university find some valuable information and relative rules to provide the basis for education management and then improve the teaching quality.For the large scale of the school, the quantity of data needed to analyze is very large. The speed and the quality of dealing the data is a critical problem which can be solved by improving the efficiency of detecting. The Apriori algorithm is a typical one, but it still has two shortcomings:the low efficiency, leaded by producing many candidate items which will lead the low efficiency, and high time complexity because of scanning the database. Aimed at the disadvantage of Apriori, a new algorithm with high efficiency, named Apriori-P, is proposed in this paper. The main process of the proposed algorithm is as follow:first, the transactional database is scanned to divide into N blocks differently without any overlap; secondly, the local frequent item sets are obtained to consist global frequent item sets; in the end, the database is scanned again and the supporting rate of each local frequent item set is calculated; lastly, the most valuable global frequent item set is selected.The Apriori-P algorithm not only has the basic characteristics of association algorithm but also has the features of high speed compared with the algorithm of Apriori. the overhead of accessing to external memory has been saved. the teaching evaluation system based on Apriori-P have two advantages:for one hand, it can find help teachers overcome their shortcomings and improve their teaching level by analyzing the rules; for another hand, it can provide the evidence on talent introduction, scientific decision and so on.