Resumen de Application of intelligent teaching resource organisation model and construction of performance evaluation model
Qiyi Huang, Yan Zhao
In the construction of intelligent teaching resources, a large number of resources are collected to meet the teaching needs,and its organisational structure, resource content and teaching quality are not fully recognised. At present, there are fewstudies on the performance evaluation of intelligent teaching, and the research angles are also different. Based on this, thispaper constructs the application performance evaluation model of intelligent teaching resource organisation mode. Basedon the simple analysis of intelligent teaching research and the development of big data mining algorithm, this paper usesdata mining algorithm to realise resource mining, uses ant colony algorithm and association rules to mine information,carries out student evaluation on this basis, and uses ID3 algorithm to construct decision tree to analyse the main factorsaffecting teaching. Then the performance evaluation model is built, and the concept of fuzzy mathematics is introducedto realise the comprehensive evaluation based on analytic hierarchy process. Finally, simulation tests and experimentsare used to analyse the effectiveness of the algorithm and the application of the model. The results show that the datamining algorithm based on association rules can mine more information and shorten the running time. The performanceevaluation model based on fuzzy comprehensive evaluation can be applied to the evaluation of intelligent teaching, find theshortcomings in teaching, and confirm the effectiveness of the model.
