{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T09:41:36Z","timestamp":1776937296556,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,21]]},"DOI":"10.1145\/3797552.3797742","type":"proceedings-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T08:35:40Z","timestamp":1776933340000},"page":"1206-1211","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Stakeholder Survey-Driven Machine Learning for Multi-Dimensional Evaluation of Industry-Education Integration in Intelligent Manufacturing Education"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7793-7103","authenticated-orcid":false,"given":"Xiaoyue","family":"Hu","sequence":"first","affiliation":[{"name":"School of Advanced Manufacturing Technology, Guangdong Mechanical & Electrical Polytechnic, Guangzhou, Guangdong, China,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5447-9596","authenticated-orcid":false,"given":"Zhi","family":"Shan","sequence":"additional","affiliation":[{"name":"School of Advanced Manufacturing Technology, Guangdong Mechanical & Electrical Polytechnic, Guangzhou, Guangdong, China,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3662-4645","authenticated-orcid":false,"given":"Feiyu","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Advanced Manufacturing Technology, Guangdong Mechanical & Electrical Polytechnic, Guangzhou, Guangdong, China,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4169-8861","authenticated-orcid":false,"given":"Pu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Advanced Manufacturing Technology, Guangdong Mechanical & Electrical Polytechnic, Guangzhou, Guangdong, China,"}]}],"member":"320","published-online":{"date-parts":[[2026,4,23]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Made in China","author":"State Council of the People's Republic of China.","year":"2025","unstructured":"State Council of the People's Republic of China. Made in China 2025. Beijing: State Council, 2015."},{"key":"e_1_3_3_1_2_2","volume-title":"Intelligent Manufacturing Talent Demand Forecast Report","author":"China Electronics Standardization Institute","year":"2024","unstructured":"China Electronics Standardization Institute. Intelligent Manufacturing Talent Demand Forecast Report (2024). Beijing: CESI, 2024."},{"issue":"4","key":"e_1_3_3_1_3_2","first-page":"1123","article-title":"Industry-education integration: A systematic review of research on talent training in intelligent manufacturing","volume":"33","author":"Li Y.","year":"2022","unstructured":"Y. Li, H. Wang, and L. Zhang, \u201cIndustry-education integration: A systematic review of research on talent training in intelligent manufacturing,\u201d Journal of Intelligent Manufacturing, vol. 33, no. 4, pp. 1123\u20131140, 2022.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"e_1_3_3_1_4_2","volume-title":"Deepening Industry-Education Integration Reform Plan","year":"2017","unstructured":"Ministry of Education of China. Deepening Industry-Education Integration Reform Plan. Beijing: MOE, 2017."},{"issue":"3","key":"e_1_3_3_1_5_2","first-page":"89","article-title":"Evaluation of industry-education integration in vocational education based on AHP-fuzzy comprehensive evaluation","volume":"42","author":"Wang J.","year":"2021","unstructured":"J. Wang, S. Liu, and W. Chen, \u201cEvaluation of industry-education integration in vocational education based on AHP-fuzzy comprehensive evaluation,\u201d Journal of Vocational Education, vol. 42, no. 3, pp. 89\u201396, 2021.","journal-title":"Journal of Vocational Education"},{"issue":"12","key":"e_1_3_3_1_6_2","first-page":"3890","article-title":"Dual education system in Germany: Implications for intelligent manufacturing talent training","volume":"57","author":"Becker M.","year":"2019","unstructured":"M. Becker and S. Wahlers, \u201cDual education system in Germany: Implications for intelligent manufacturing talent training,\u201d International Journal of Production Research, vol. 57, no. 12, pp. 3890\u20133905, 2019.","journal-title":"International Journal of Production Research"},{"issue":"1","key":"e_1_3_3_1_7_2","first-page":"60","article-title":"Educational data mining: A review of the state of the art","volume":"5","author":"Romero C.","year":"2010","unstructured":"C. Romero and S. Ventura, \u201cEducational data mining: A review of the state of the art,\u201d IEEE Transactions on Learning Technologies, vol. 5, no. 1, pp. 60\u201374, 2010.","journal-title":"IEEE Transactions on Learning Technologies"},{"key":"e_1_3_3_1_8_2","first-page":"123456","article-title":"Curriculum system optimization of intelligent manufacturing major based on industry demand","volume":"8","author":"Zhang C.","year":"2020","unstructured":"C. Zhang, M. Li, and J. Zhao, \u201cCurriculum system optimization of intelligent manufacturing major based on industry demand,\u201d IEEE Access, vol. 8, pp. 123456\u2013123465, 2020.","journal-title":"IEEE Access"},{"issue":"2","key":"e_1_3_3_1_9_2","first-page":"156","article-title":"Construction of industry-education integrated curriculum system for intelligent manufacturing major","author":"Chen J.","year":"2020","unstructured":"J. Chen, Y. Li, and H. Zhang, \u201cConstruction of industry-education integrated curriculum system for intelligent manufacturing major,\u201d Research in Higher Education of Engineering, no. 2, pp. 156\u2013161, 2020.","journal-title":"Research in Higher Education of Engineering"},{"issue":"11","key":"e_1_3_3_1_10_2","first-page":"45","article-title":"Innovation and practice of university-enterprise cooperation model in intelligent manufacturing field","author":"Zhao W.","year":"2021","unstructured":"W. Zhao, L. Chen, and Q. Wang, \u201cInnovation and practice of university-enterprise cooperation model in intelligent manufacturing field,\u201d China Higher Education, no. 11, pp. 45\u201347, 2021.","journal-title":"China Higher Education"},{"issue":"8","key":"e_1_3_3_1_11_2","first-page":"67","article-title":"Research on industry-education integration evaluation index system based on stakeholder theory","volume":"42","author":"Liu X.","year":"2022","unstructured":"X. Liu, Y. Zhang, and J. Li, \u201cResearch on industry-education integration evaluation index system based on stakeholder theory,\u201d Research in Educational Development, vol. 42, no. 8, pp. 67\u201374, 2022.","journal-title":"Research in Educational Development"},{"issue":"5","key":"e_1_3_3_1_12_2","first-page":"78","article-title":"Evaluation of industry-education integration effectiveness in higher vocational education","volume":"41","author":"Wang Y.","year":"2020","unstructured":"Y. Wang, Q. Zhang, and C. Li, \u201cEvaluation of industry-education integration effectiveness in higher vocational education,\u201d Journal of Higher Education, vol. 41, no. 5, pp. 78\u201385, 2020.","journal-title":"Journal of Higher Education"},{"issue":"7","key":"e_1_3_3_1_13_2","first-page":"3210","article-title":"Fuzzy comprehensive evaluation of industry-education integration in intelligent manufacturing","volume":"18","author":"Li S.","year":"2021","unstructured":"S. Li, L. Wang, and H. Zhao, \u201cFuzzy comprehensive evaluation of industry-education integration in intelligent manufacturing,\u201d Journal of Computational and Theoretical Nanoscience, vol. 18, no. 7, pp. 3210\u20133216, 2021.","journal-title":"Journal of Computational and Theoretical Nanoscience"},{"key":"e_1_3_3_1_14_2","first-page":"104456","article-title":"Predicting the quality of vocational education using machine learning algorithms","volume":"187","author":"Zhang X.","year":"2022","unstructured":"X. Zhang, Y. Liu, and Z. Chen, \u201cPredicting the quality of vocational education using machine learning algorithms,\u201d Comuters & Education, vol. 187, p. 104456, 2022.","journal-title":"Comuters & Education"},{"issue":"3","key":"e_1_3_3_1_15_2","first-page":"1890","article-title":"Analyzing the effectiveness of university-industry collaboration using gradient boosting algorithm","volume":"128","author":"Li H.","year":"2023","unstructured":"H. Li, Z. Wang, and J. Zhang, \u201cAnalyzing the effectiveness of university-industry collaboration using gradient boosting algorithm,\u201d Scientometrics, vol. 128, no. 3, pp. 1890\u20131908, 2023.","journal-title":"Scientometrics"}],"event":{"name":"ICAIE 2025: 2025 4th International Conference on Artificial Intelligence and Education","location":"Nanjing China","acronym":"ICAIE 2025"},"container-title":["Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3797552.3797742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T08:46:19Z","timestamp":1776933979000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3797552.3797742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,21]]},"references-count":15,"alternative-id":["10.1145\/3797552.3797742","10.1145\/3797552"],"URL":"https:\/\/doi.org\/10.1145\/3797552.3797742","relation":{},"subject":[],"published":{"date-parts":[[2025,11,21]]},"assertion":[{"value":"2026-04-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}