Ping Li
ABSTRACT
In order to effectively improve the teaching level of ideological and political courses and improve the accuracy of evaluation methods, a method of using probability density characteristics to evaluate the teaching effect is proposed, which can effectively improve the accuracy of teacher teaching effect evaluation and promote the reform of teaching methods. Fuzzy mean clustering technology is used to construct a teaching effect evaluation data model, the model is used to randomly sample the effects of ideological and political theory courses, and the evaluation indicators are combined with the effect similarity for information fusion. Use feature analysis method combined with semantic weighting structure to build a data feature set relationship distribution model. The simulation experiment results show that the method evaluates the teaching effect in a multi-dimensional manner from an all-round perspective, has high intelligence and accuracy, and can provide a basis for later teaching reform and innovation.
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