Optimization Method for University Curriculum Management Settings Based on Big Data Mining
Optimization method for university curriculum management based on big data mining was designed,the method collects pro-fessional course data from multiple dimensions and sources(such as student grades,course evaluations,and teaching resource usage),achieving comprehensiveness and multidimensionality of data.It performs data merging,deduplication,and association to obtain integrated data results.By employing big data mining techniques,the integrated data is classified and feature-mined,revealing data patterns and trends that traditional methods are unable to detect.Consequently,a highly efficient professional curriculum management model is con-structed,comprehensively reflecting multiple aspects of the courses.Through the establishment of course evaluation values,dynamic as-sessment,and continuous optimization of curriculum management settings are achieved.Experimental tests show that the designed method results in a higher utilization rate of teaching resources and better optimization effects.
big data mining technologyuniversity professional coursescurriculum designcourse managementoptimization method
万方数据
维普
