基于大数据的高校思想政治理论课考核模式研究  

Research on the Examination Mode of College Ideological and Political Theory Course Based on the Big Data

作　　者：江瑶[1] JIANG Yao(Department of Ideological and Political Education, Anhui Xinhua College, Hefei 230088, China)

机构地区：[1]安徽新华学院思政部,安徽合肥230088

出　　处：《许昌学院学报》2019年第1期149-152,共4页Journal of Xuchang University

基　　金：安徽省质量工程项目"思政课基于‘易班’背景下‘过程性’考核改革研究"(2017jyxm0528);安徽新华学院校级项目"基于现代信息技术的高校思想政治教育全过程全方位育人研究"(2017jy026)

摘　　要：大数据时代的到来,为高校思想政治理论课考核模式创新提供了技术助力。大数据改变了高校思想政治理论课传统的考核方式,使考核更全面、更个性化、更有时效性。当前基于大数据技术的教学考核方式有MOOC和SPOC、自媒体平台、专业的教学App等。只有树立了与大数据相匹配的考核理念,才能更好地发挥大数据的作用。The arrival of the big data era has provided technical assistance for the innovation of the evaluation mode of ideological and political theory courses in colleges and universities. The big data has changed the traditional assessment methods of ideological and political theory courses in colleges and universities, making assessments more comprehensive, personalized, and time-efficient. At present, the teaching evaluation methods based on the big data technology include MOOC and SPOC, self-media platform, and professional teaching APP. Only by establishing an assessment concept that matches the big data, can we make better use of the big data.

关 键 词：大数据 高校思想政治理论课 考核 

分 类 号：G640[文化科学—高等教育学]