Frontiers in Educational Research, 2025, 8(2); doi: 10.25236/FER.2025.080217.
Han Song1, Fang Yu2
1Department of System Science and Statistics, Beijing Wuzi University, Beijing, China
2Department of System Science and Statistics, Beijing Wuzi University, Beijing, China
The current situation and construction path of MOOCs in the training of master's degree in statistics are the hot spots of the current education reform. First of all, the problems faced by the training of master's degree in statistics include weak professional foundation and single teaching methods. Further quantitative analysis of the current situation of digital intelligence MOOC resources shows that although the resources of digital intelligence MOOCs at the undergraduate level are abundant, the number of courses at the graduate level is obviously insufficient, the course resources are scattered and lack systematization, and there is a lack of mature online degree programs in digital intelligence. In order to solve these problems, this paper proposes the construction path of digital intelligence MOOC in the master's degree training of statistics, including clarifying the training objectives and course positioning, optimizing the course structure and content, strengthening the integration and systematization of curriculum resources, promoting the development of online degree programs, and promoting the deep integration of industry, academia, research and application. The implementation of these measures aims to improve the quality of master's degree training in statistics and promote the reform of statistics teaching.
statistics, Master's Degree Training, digital intelligence MOOCs, analysis of the current situation, Construction paths
Han Song, Fang Yu. A Study on the Current Situation and Construction Path of MOOC Resources in the Training of Master of Statistics. Frontiers in Educational Research (2025) Vol. 8, Issue 2: 116-121. https://doi.org/10.25236/FER.2025.080217.
[1] MEET R K,KALA D. Trends and Future Prospects in MOOC Researches: A Systematic Literature Review 2013-2020[J]. Contemporary educational technology, 2021, 13(3): ep312.
[2] Xu Jianfeng. Analysis on the consistency between the master's program in applied statistics and the employment needs of Internet enterprises[D].Central China Normal University, 2022. DOI:10.27159/d.cnki.ghzsu.2022.001924.
[3] Li Gang, Wang Taorui. Comparative analysis of talent training programs for master's degree students in applied statistics in China and the United States[J]. Education Modernization, 2019, 6(85): 17-20. DOI:10.16541/j.cnki.2095-8420.2019.85.008.
[4] Zhu Zhichuan, Jiang Ben, Wang Dehui. Investigation and Analysis of Master's Degree Training in Applied Statistics for Big Data [J]. Journal of Jilin Provincial College of Education, 2024, 40 (08): 136-141.
[5] Song Junlong, Li Hongyan. The Role of MOOCs in the Training of Master's Degree Students in Characteristic Majors in Local Colleges and Universities [J]. Education and Teaching Forum, 2018, (06): 162-163.
[6] Yin Zhengjie. Research on the construction of MOOC course for graduate education[J].China Management Informatization, 2016, 19(13):240-242.
[7] Han Song, Meng Shengwang. Research on the Current Situation and Development Countermeasures of MOOC in China from the Perspective of Curriculum System [J]. University Education, 2024, (20): 17-22.
[8] Wang Li. A preliminary study on graduate education reform from the perspective of "MOOC"[J]. Asia-Pacific Education,2015,(05):46.DOI:10.16550/j.cnki.2095-9214.2015.05.039.
[9] Zhu Haibin. Research on the strategy of introducing MOOC in full-time professional master's teaching[D]. Bohai University,2017.
[10] LIU Anran. A comparative study of MOOCs in Chinese and American universities: A case study of "Chinese University MOOC" and Coursera[J]. Higher Education Exploration,2021,(09):88-94.