Abstract: Big data enables the teaching evaluation methods of ideological and political courses in colleges and universities to achieve the organic combination of process evaluation and outcome evaluation, the positive interaction between standardized evaluation and personalized evaluation, the innovative integration of value-added evaluation and tracking evaluation, and the effective synthesis of entropy weight evaluation and association evaluation, so as to achieve the effect of "promoting learning by evaluation", "promoting teaching by evaluation" and "promoting reform by evaluation". Then, it provides solid theoretical support and practical basis for scientifically answering the preconditions and basic questions of teaching evaluation methods of ideological and political courses in colleges and universities, such as "why evaluate", "who evaluates" and "how to evaluate".
程沫雷, 王彬. 批判与革新：大数据赋能高校思政课教学评价方法研究[J]. 吉林化工学院学报, 2024, 41(8): 34-38.
CHENG Molei, WANG Bin. Criticism and Innovation: Research on Teaching Evaluation Methods For Ideological and Political Courses Empowered by Big Data. Journal of Jilin Institute of Chemical Technology, 2024, 41(8): 34-38.
