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
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 hea...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/14/9/511 |
| _version_ | 1797579616205930496 |
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| author | Hongfeng Sang Liyi Ma Nan Ma |
| author_facet | Hongfeng Sang Liyi Ma Nan Ma |
| author_sort | Hongfeng Sang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:38:42Z |
| format | Article |
| id | doaj.art-ef45994da1744365b3fa02dce6c99bfc |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T22:38:42Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-ef45994da1744365b3fa02dce6c99bfc2023-11-19T11:14:16ZengMDPI AGInformation2078-24892023-09-0114951110.3390/info14090511Analysis of the Current Situation of Big Data MOOCs in the Intelligent Era Based on the Perspective of Improving the Mental Health of College StudentsHongfeng Sang0Liyi Ma1Nan Ma2Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing 100124, ChinaSchool of Management, Beijing Union University, Beijing 100101, ChinaBeijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing 100124, ChinaA 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.https://www.mdpi.com/2078-2489/14/9/511big dataintelligent eraMOOC constructioninvestigationanalysis |
| spellingShingle | Hongfeng Sang Liyi Ma Nan Ma 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 Information big data intelligent era MOOC construction investigation analysis |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | big data intelligent era MOOC construction investigation analysis |
| url | https://www.mdpi.com/2078-2489/14/9/511 |
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