Efficient activity promoting learning style based on pattern recognition algorithm Construction strategy study: Take a second-tier university in Shandong Province as an example

This study takes a second-tier university in Shandong Province as an example, combined with pattern recognition algorithm, and started with the types of activities carried out in the construction of students' style of study as the benchmark, set the default module sequence, and analyzed students' participation and initiative in the construction of style of study from the perspectives of participants, nature, current situation and satisfaction. Three clustering centers, namely, the nature of participation, the number of participation and the level of satisfaction, were used for effective data analysis. In this study, a development evaluation index system of "Efficient activity promoting learning style construction" was constructed. By establishing entropy weight-TOPSIS model, coupling coordination degree model and obstacle degree model, the activity participation data in 5-10 years were measured and analyzed. Based on the clustering results and measurement analysis, propose suggestions for the diversification and practical content of activities that effectively promote the construction of academic atmosphere, help to create a model of academic atmosphere construction strategies in universities, accelerate the quality of academic atmosphere construction processes in various universities, and provide suggestions for promoting student growth and development plans.