AI赋能产教科创融合的材料专业育人路径研究

Research on the Education Path of AI-Empowered Integration of Industry, Education, Science and Innovation in Materials Major

摘要: 本研究以科技创新驱动产业发展对材料专业人才的能力要求为导向，针对当前材料专业育人中AI技术融合浅表化、产教科创协同机制缺失、人才培养与区域产业需求脱节等问题，探索AI赋能产教科创融合的育人路径。方法上通过问卷调研、深度访谈与实地考察相结合的方式调研辽宁10所高校与20家新材料企业，厘清AI与产教科创融合的内在逻辑，从课程体系、教学模式、实训平台、协同机制、评价体系五方面设计系统化育人路径，并以辽宁工业大学材料专业为载体开展为期3年的实践研究。结果显示，该路径有效提升了学生的综合能力，校企协同深度加强，教学资源体系进一步完善，人才培养区域适配性显著提升。改革后学生的AI应用能力、科研创新能力等核心指标较改革前平均提升58%，参与科研项目的人数占比从22%提升至82%。结论表明，构建的“AI + 产 + 教 + 科 + 创”五位一体育人体系，能破解材料专业育人痛点，为理工科专业对接科技创新驱动产业发展开展育人改革提供理论框架与实践方案，助力高等教育与区域产业升级协同发展。

Abstract: This study, guided by the ability requirements for materials professionals in the development driven by scientific and technological innovation, aims to address the current issues in materials education, such as the superficial integration of AI technology, the lack of a collaborative mechanism among industry, education, science, and innovation, and the disconnection between talent cultivation and regional industrial demands. It explores the educational path of integrating AI into the collaboration among industry, education, science, and innovation. By adopting a combination of questionnaire survey, in-depth interview and field investigation, this study investigated 10 universities and 20 new material enterprises in Liaoning Province, and the intrinsic logic of the integration of AI and the collaboration among industry, education, science, and innovation was clarified. A systematic educational path was designed from five aspects: curriculum system, teaching mode, practical training platform, collaborative mechanism, and evaluation system. The implementation was carried out with the materials major of Liaoning University of Technology as the carrier for a 3-year practical research. The results show that this path effectively enhances students’ comprehensive abilities, deepens the collaboration between schools and enterprises, further improves the teaching resource system, and significantly enhances the regional adaptability of talent cultivation, after the reform, the core indicators such as students’ AI application ability and scientific research innovation ability increased by an average of 58% compared with those before the reform, and the proportion of students participating in scientific research projects increased from 22% to 82%. The conclusion indicates that the constructed “AI + Industry + Education + Science + Innovation” five-in-one educational system can solve the pain points in materials education, provide a theoretical framework and practical solution for the educational reform of science and engineering majors in line with the industrial development driven by scientific and technological innovation, and facilitate the coordinated development synchronous development of higher education and regional industrial upgrading.