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随着人工智能技术的迅猛发展，其在教育领域尤其是高等教育中的应用日益广泛，为高校人才培养带来了新的机遇与挑战。本文探讨了人工智能赋能高校人才培养的价值意蕴，分析了高校人才培养在课程体系、师资力量、评价体系、校企联动等方面存在的问题。基于陕西科技大学包装工程专业现状，从人工智能技术应用的视角，针对现存问题，提出了人才培养体系优化的路径与策略，为人工智能时代包装工程专业人才培养提供新思路。
Abstract：With the rapid development of artificial intelligence technology, it has been widely used in the field of education,especially in higher education, which has brought new opportunities and challenges for talent training in colleges and universities. In this paper, the value implication of talent training empowered by artificial intelligence in the universities was discussed, the problems existing in the curriculum system, faculty, evaluation system, industry-education integration linkage were analyzed. Based on the status of packaging engineering major of Shaanxi University of Science and Technology, according to the existing problems, the path and strategy of talent training system optimization were proposed from the perspective of the application of artificial intelligence technology. It would provide the new ideas for the talent training of packaging engineering major under the empowerment of artificial intelligence.
[1]陈兵.人工智能应用的科技伦理与法治化建设[J].人民论坛, 2024,(12):66-70.CHEN Bing. The Construction of Technology Ethics and Rule of Law in the Application of Artificial Intelligence[J]. People’s Tribune, 2024,(12):66-70.
[2]徐丹,段晓雯.人工智能素养:高等教育的挑战与应对——《2024地平线报告:教与学版》的解读与启示[J].开放教育研究, 2024, 30(3):24-36.XU Dan, DUAN Xiao-wen. Artificial Intelligence Fluency:Challenges and Strategies for Higher Education:The Interpretation and Enlightenment of“2024 EDUCAUSE Horizon Report:Teaching and Learning Edition”[J]. Open Education Research, 2024,30(3):24-36.
[3]王巍衡.人工智能赋能下数字媒体专业人才培养体系的优化[J].印刷与数字媒体技术研究, 2023,(4):19-26.WA N G We i-h e n g. O p t i m i z a t i o n o f t h e Ta l e n t Cultivation System for Digital Media Major under the Empowerment of Artificial Intelligence[J]. Printing and Digital Media Technology Study, 2023,(4):19-26.
[4]吕霞,郭凌华,陆赵情,等.新质生产力视域下双创教育赋能印包类专业学位研究生实践能力提升探析[J].印刷与数字媒体技术研究, 2024,(3):119-124.LV Xia, GUO Ling-hua, LU Zhao-qing, et al.Enhancing Practical Ability of Packaging and Printing Postgraduates through Innovation and Entrepreneurship Education under New-Quality Productivity[J]. Printing and Digital Media Technology Study, 2024,(3):119-124.
[5]黄丽婕,黄崇杏,段青山,等.“新工科+人工智能”时代下《包装新技术》课程的教学改革探索[J].包装工程, 2024,(S2):44-48.HUANG Li-jie, HUANG Chong-xing, DUAN Qingshan, et al. Exploration on the Teaching Reform of the Course “New Packaging Technologies” in the Age of “New Engineering+Artificial Intelligence”[J].Packaging Engineering, 2024,(S2):44-48.
[6]李艳,孙凌云,江全元,等.高校教师人工智能素养及提升策略[J].开放教育研究, 2025, 31(1):23-33.LI Yan, SUN Ling-yun, JIANG Quan-yuan, et al.Artificial Intelligence Literacy of University Teachers and Its Promotion Strategies[J]. Open Education Research, 2025, 31(1):23-33.
[7]王文娟,杨海波,赵睿,等.信息化视域下包装专业学生核心素养培养探析[J].印刷与数字媒体技术研究,2023,(4):53-58.WANG Wen-juan, YANG Hai-bo, ZHAO Rui, et al. Analysis on the Cultivation of Core Literacy of Packaging Majors Students under the Perspective of Informatization[J]. Printing and Digital Media Technology Study, 2023,(4):53-58.
[8]赵睿,杨海波,李雨霏,等.工程教育专业认证背景下包装工程专业创新创业人才培养模式的探索与实践[J].数字印刷, 2022,(4):124-130.ZHAO Rui, YANG Hai-bo, LI Yu-fei, et al. Exploration and Practice of Innovative and Entrepreneurial Talent Training Mode for Packaging Engineering Major under the Background of Engineering Education Accreditation[J]. Digital Printing, 2022,(4):124-130.
[9]张乾隆,刘国栋,沈璇博,等.基于产教融合的轻工类专业大学生创新实践能力提升[J].数字印刷, 2021,(4):111-117.ZHANG Qian-long, LIU Guo-dong, SHEN Xuan-bo, et al. Improving the Innovative Practice Ability of Light Industry Majors in the Industry-Education Integration[J]. Digital Printing, 2021,(4):111-117.
[10]缪玲,曾祥跃,张新成.人工智能赋能职业院校产教融合人才培养的应用研究[J].职教论坛, 2025,41(2):28-35.MIAO Ling, ZENG Xiang-yue, ZHANG Xin-cheng.An Applied Research on the Empowerment of Talent Cultivation through the Integration of Industry and Education in Vocational Colleges by Artificial Intelligence[J]. Journal of Vocational Education, 2025,41(2):28-35.
基本信息:
DOI：10.19370/j.cnki.cn10-1886/ts.2025.03.007
中图分类号:G642;TB48-4;TP18
引用信息:
[1]赵琼,马向东.人工智能赋能包装工程专业人才培养模式优化探索[J].印刷与数字媒体技术研究,2025,No.236(03):56-62.DOI:10.19370/j.cnki.cn10-1886/ts.2025.03.007.
基金信息:
陕西省教育科学“十四五”规划2021年度青年课题(No.SGH21Q025); 陕西科技大学2024年度学生工作研究课题(No.2024XFKT08); 陕西科技大学大学精神与大学文化育人研究基地2024年度课题(No.WHYRJD2024YB012)