{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:12:54Z","timestamp":1776975174829,"version":"3.51.4"},"reference-count":20,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T00:00:00Z","timestamp":1694995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China Society of Vocational and Technical Education","award":["40041001202313"],"award-info":[{"award-number":["40041001202313"]}]},{"name":"Ministry of Education","award":["40041001202313"],"award-info":[{"award-number":["40041001202313"]}]},{"name":"national level E-commerce First-class Undergraduate Major Construction Point of Beijing Union University","award":["40041001202313"],"award-info":[{"award-number":["40041001202313"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>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 \u201cEducational Information Technology Standard CELTS-22\u2014Online Course Evaluation Standard\u201d, recommendations about the platform, organizational mechanism, and course construction are provided for the future development of big data MOOCs in China.<\/jats:p>","DOI":"10.3390\/info14090511","type":"journal-article","created":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T02:17:30Z","timestamp":1695003450000},"page":"511","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"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"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2382-6358","authenticated-orcid":false,"given":"Hongfeng","family":"Sang","sequence":"first","affiliation":[{"name":"Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8554-7002","authenticated-orcid":false,"given":"Liyi","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Management, Beijing Union University, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6264-2365","authenticated-orcid":false,"given":"Nan","family":"Ma","sequence":"additional","affiliation":[{"name":"Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,18]]},"reference":[{"key":"ref_1","first-page":"5","article-title":"The Education in the Era of Intelligence","volume":"5","author":"Li","year":"2018","journal-title":"Res. 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Discov."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/14\/9\/511\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:52:41Z","timestamp":1760129561000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/14\/9\/511"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,18]]},"references-count":20,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["info14090511"],"URL":"https:\/\/doi.org\/10.3390\/info14090511","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,18]]}}}