A Quality Evaluation Scheme for Curriculum in Ideological and Political Education Based on Data Mining

A large amount of data has been accumulated in the teaching and management of colleges and universities, while these data have not been effectively used. Thus, this paper introduces the design scheme of integrating data mining technology into the Curriculum in Ideological and Political teaching evaluation system, as well as the key technologies in the system development process. When the evaluation data is acquired, the data mining model of teaching quality evaluation is established, and the indicators of teaching quality evaluation are listed. Then the mining process and specific classification are provided in the analysis of association rules. This paper also designs an improved Aprior algorithm and describes its application in teaching evaluation. Finally, the mining object, data selection, data mining process and specific mining steps are determined in the cluster analysis. The relationship between teachers' basic information, teaching methods and teaching evaluation results is analyzed, and the clustering results are generated. Thus, the selection of evaluation methods, the formulation of relevant policies and the improvement strategies of teachers' teaching can be expected.