Automatic Evaluation Model of Physical Education based on Association Rules Algorithm

Chunlan Tian, Chongmin Zhang

School of Physical Education & Sports Science, Qufu Normal University, Qufu, 273165, China

Abstract: Generally, the universities use the method of the quantitative evaluation to realize the objective evaluation of the teaching situation, and reflect the teacher's actual teaching situation through the quantitative scoring in all aspects. Scientific and accurate teaching evaluation is of far-reaching significance for teaching workers to further improve their teaching level. However, due to the influence of objective factors such as ideological understanding, teaching contents, evaluation methods and evaluation criteria, there are still many optimistic situations in PE teaching evaluation. In this paper, we use the algorithm of association rules in data mining to try to find out an effective way to analyze teaching evaluation data. Association rules are one of the important methods of data mining. They can find frequent itemsets from a given data set and the links between the data, and can find the contact of multiple data items that meet a certain degree of support and confidence.

Keywords: Association rules; Algorithm; Physical education; Automatic evaluation; Mode; Research