Test scores are not only an important reference for college educators to understand the im-plementation of teaching,but also an important reference for students to understand their knowledge mastery,find weaknesses,and scientifically establish personal learning goals.Carrying out analysis and application of test scores based on big data and finding the interrelationships between various subjects behind student test scores is of great significance for universities to improve management quality and efficiency,and for students to implement more targeted learning.Using the data mining technology of Apriori algorithm,this paper analyzes the data on the college entrance examination and exam scores of students of 2018,examines key courses and influencing factors that restrict student performance,which provides data support for improving talent cultivation.
国家科技期刊平台
NSTL
万方数据
