文献类型：期刊文献

英文题名：Analysis of the Current Situation of Big Data MOOCs in the Intelligent Era Based on the Perspective of Improving the Mental Health of College Students

作者：Sang, Hongfeng[1];Ma, Liyi[2];Ma, Nan[1]

第一作者：Sang, Hongfeng

通讯作者：Ma, LY[1]

机构：[1]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China;[2]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China

第一机构：Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2023

卷号：14

期号：9

外文期刊名：INFORMATION

收录：EI(收录号：20234014843611);Scopus(收录号：2-s2.0-85173112588);WOS:【ESCI(收录号:WOS:001071946100001)】；

基金：The authors would like to thank Zhuo Li, Li Yue, Zeyi Shan and Man Ye for their contributions to the data processing of this study.

语种：英文

外文关键词：big data; intelligent era; MOOC construction; investigation; analysis

摘要：A three-dimensional MOOC analysis framework was developed, focusing on platform design, organizational mechanisms, and course construction. This framework aims to investigate the current situation of big data MOOCs in the intelligent era, particularly from the perspective of improving the mental health of college students; moreover, the framework summarizes the construction experience and areas for improvement. The construction of 525 big data courses on 16 MOOC platforms is compared and analyzed from three aspects: the platform (including platform construction, resource quantity, and resource quality), organizational mechanism (including the course opening unit, teacher team, and learning norms), and course construction (including course objectives, teaching design, course content, teaching organization, implementation, teaching management, and evaluation). Drawing from the successful practices of international big data MOOCs and excellent Chinese big data MOOCs, and considering the requirements of authoritative government documents, such as the no. 8 document (J.G. [2019]), no. 3 document (J.G. [2015]), no. 1 document (J.G. [2022]), as well as the "Educational Information Technology Standard CELTS-22-Online Course Evaluation Standard", recommendations about the platform, organizational mechanism, and course construction are provided for the future development of big data MOOCs in China.