批判与革新:大数据赋能高校思政课教学评价方法研究  

Criticism and Innovation:Research on Teaching Evaluation Methods for Ideological and Political Courses Empowered by Big Data

作　　者：程沫雷 王彬 CHENG Molei;WANG Bin(School of Marxism,Jilin Medical University,Jilin City 132013,China)

机构地区：[1]吉林医药学院马克思主义学院,吉林吉林132013

出　　处：《吉林化工学院学报》2024年第8期34-38,共5页Journal of Jilin Institute of Chemical Technology

基　　金：吉林省青少年发展研究计划课题(2024jqy-149);吉林省高校网络思想政治工作专项课题(JJKH20230100WS);吉林医药学院党的建设与思想政治工作课题(2022DJSZ06)

摘　　要：大数据赋能高校思政课教学评价方法,做到过程性评价与结果性评价的有机结合、标准化评价与个性化评价的良性互动、增值性评价与跟踪性评价的创新融合、熵权法评价与关联法评价的有效综合,达到“以评促学”“以评促教”“以评促改”的效果,进而为科学回答“为什么评价”“谁来评价”“怎么评价”等高校思政课教学评价方法的前提性和基础性问题,提供坚实的学理支撑和现实依据。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 valueadded 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".

关 键 词：大数据 高校思政课 教学评价方法 

分 类 号：G641[文化科学—高等教育学]