Study on comprehensive quality assessment of university students based on data mining algorithms
This study aims to leverage data mining algorithms and simultaneously construct a survey questionnaire to collect data on the performance of university students in six dimensions:theoretical knowledge,behavioral performance,learning cultiva-tion,physical and mental health,organizational participation,and career development.The research employs a composite data min-ing model to achieve accurate predictions of students'comprehensive qualities.The results present comprehensive student profiles for each category,offering in-depth analyses of the strengths,weaknesses,and areas for improvement among students of different levels.The study particularly emphasizes the innovative application of data mining algorithms in the evaluation of university stu-dents'qualities,providing universities with a comprehensive and scientifically sound tool for quality management.
data miningcomprehensive quality assessmentstudent profile
万方数据
维普
