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| Criticism and Innovation: Research on Teaching Evaluation Methods For Ideological and Political Courses Empowered by Big Data |
CHENG Molei, WANG Bin*
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| School of Marxism, Jilin Medical University, Jilin 132013, China |
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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".
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Published: 25 August 2024
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FU Yao, XIANG Wen, LI Cheng , CHEN Kaiyang.
Analysis of Key Influencing Factors of Power Grid Enterprise Investment in the Era of Big Data
[J]. Journal of Jilin Institute of Chemical Technology, 2023, 40(1): 99-102. |
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