AI赋能材料专业新质人才产教科创融合培养模式与实践

AI-Empowered Training Mode and Practice of Industry-Education-Science-Innovation Integration for New Quality Talents in Materials Major

摘要: 为适配新质生产力发展对材料专业新质人才的能力要求，破解传统培养模式产教分离、科教脱节的痛点，本研究构建AI赋能的材料专业新质人才产教科创融合培养模式。研究明确模式核心要素与运行机制，设计课程、平台、机制、评价四大联动模块，确立材料专业、AI应用、科研创新、产业实践四维能力培养目标；以高校材料专业为载体开展实践，将AI技术与科研成果、产业项目、双创竞赛深度融合，依托大数据实现多元化过程性评价。实践结果表明，该模式有效提升学生四维综合能力，强化产教科创协同育人效果，完善了教学资源体系。研究提炼的实践经验形成可复制的理工科培养范式，为新工科建设和高等教育教学改革提供实践参考。

Abstract: To meet the competency requirements of new quality productivity development for new quality talents in materials major and solve the problems of separation between industry and education, and disconnection between science and education in the traditional training mode, this study constructs an AI-empowered training mode of industry-education-science-innovation integration for new quality talents in materials major. The study clarifies the core elements and operation mechanism of the mode, designs four linked modules of curriculum, platform, mechanism and evaluation, and establishes the four-dimensional competency training objectives of materials professional ability, AI application ability, scientific research innovation ability and industrial practice ability. Taking the materials major of universities as the carrier, the practice is carried out by deeply integrating AI technology with scientific research achievements, industrial projects and innovation and entrepreneurship competitions, and realizing diversified process evaluation based on big data. The practice results show that this mode effectively improves students’ four-dimensional comprehensive ability, strengthens the effect of industry-education-science-innovation collaborative education, and improves the teaching resource system. The practical experience refined in the study forms a replicable training paradigm for science and engineering majors, and provides practical reference for the construction of emerging engineering education and higher education teaching reform.