“AI+创赛”融合驱动下材料专业“专创融合”实践育人新路径探索
“AI+ Innovation and Entrepreneurship Competition” Integration-Driven Exploration of New Pathways for “Discipline Specialization and Innovation-Entrepreneurship Integration” in Practice-Oriented Education for Materials Science
DOI: 10.12677/ces.2025.137506, PDF,    科研立项经费支持
作者: 贺禹森, 杨继洲:河北工程大学材料科学与工程学院,河北 邯郸;单真真*:河北工程大学教务处,河北 邯郸
关键词: 专创融合人工智能创新创业培养模式建设路径Professional-Innovation Integration Artificial Intelligence Innovation and Entrepreneurship Training Mode Construction Path
摘要: 在新工科建设与高等教育改革双重驱动下,本文探索材料专业人工智能与学科竞赛深度融合的专创融合育人体系,为打破传统工程教育中理论与实践脱节、创新能力培养不足等核心问题。研究揭示了智能技术赋能、竞赛平台驱动与专业教育的协同创新机制,明晰“需求识别–动态优化–资源匹配”的闭环培养框架。构建了数据驱动的“AI+创赛”融合育人模式及“需求识别–动态优化–资源匹配”闭环框架,通过搭建智能虚实平台、重构“赛创研”联动课程体系、深化产教协同、完善多维评价等路径,形成了理实交融的“教、学、做”一体化机制。通过智能画像、资源匹配系统等技术应用,已显著提升学生工程实践与技术创新能力,同时促进科研成果转化,为材料专业“新工科”人才培优、教育数字化改革及产教生态重构提供了一套系统化解决方案。
Abstract: Under the dual-driven context of New Engineering Education construction and higher education reform, this paper focuses on the materials discipline to explore an integrated education system that deeply converges professional education with innovation-entrepreneurship education through the fusion of artificial intelligence and academic competitions, aiming to resolve core issues in traditional engineering education such as the disconnection between theory and practice and insufficient innovation capability cultivation. The research reveals the synergistic innovation mechanisms among intelligent technology empowerment, competition platform-driven initiatives, and professional education, proposing a closed-loop cultivation framework of “demand identification-dynamic optimization-resource matching”. We have established a data-driven “AI + Innovation Competition” integrated education model and a “demand identification-dynamic optimization-resource matching” closed-loop framework. By building an intelligent virtual-physical platform, reconstructing a “Competition-Innovation-Research” linked curriculum system, deepening industry-education collaboration, and refining a multidimensional evaluation mechanism, we have created a theory-practice integrated “teaching, learning, and practice” mechanism. Employing intelligent profiling and resource matching systems, this approach has significantly enhanced students’ engineering practice and technological innovation capabilities while promoting the transformation of scientific research outcomes. It offers a systematic solution for cultivating excellence in “Emerging Engineering Education” talent in materials science, advancing digital educational reform, and restructuring the industry-education ecosystem.
文章引用:贺禹森, 杨继洲, 单真真. “AI+创赛”融合驱动下材料专业“专创融合”实践育人新路径探索[J]. 创新教育研究, 2025, 13(7): 127-132. https://doi.org/10.12677/ces.2025.137506

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