人工智能驱动化学创新人才培养的改革路径与对策探索

AI-Driven Reform Pathways and Countermeasures for Cultivating Innovative Talents in Chemistry

摘要: 人工智能技术的快速发展正在深刻变革高等教育模式，为化学类创新人才培养带来新的机遇与挑战。当前，在普通高等院校化学类人才培养面临课程体系与AI技术融合不足、个性化培养手段匮乏、科研创新能力培养路径单一、评价体系滞后等突出问题。本文在系统梳理国内外AI赋能化学教育典型案例的基础上，深入分析问题成因，提出创新人才分类培养新模式、建设AI赋能关键资源、完善教师AI教学能力提升机制、构建多源数据驱动评价体系、深化产教融合拓展应用场景等对策建议，为化学创新人才培养改革提供参考。

Abstract: The rapid advancement of artificial intelligence technology is profoundly transforming the landscape of higher education, presenting both new opportunities and challenges for the cultivation of innovative talents in chemistry. Currently, university-level chemistry education faces prominent issues, including insufficient integration of AI technology into the curriculum, a lack of personalized training methods, a narrow path for developing scientific research and innovation capabilities, and an outdated evaluation system. Based on a systematic review of typical domestic and international cases of AI-empowered chemistry education, this paper deeply analyzes the root causes of these problems. It proposes targeted countermeasures and suggestions, such as innovating new models for the classified cultivation of talents, building key AI-enabled resources, improving mechanisms to enhance teachers’ AI teaching capabilities, constructing a multi-source data-driven evaluation system, and deepening the integration of industry and education to expand application scenarios. This paper aims to provide a reference for the reform of cultivating innovative chemistry talents.