东华大学学报(社会科学版)

人工智能塑造了拔尖创新人才培养的多重技术路径。在教学实践层面，智能辅助教学实现精准学情分析与个性化教学设计，推动教师角色从知识传授者向学习引导者转型；在学习支持层面，通过自适应推荐系统和多模态资源库，构建起个性化深度学习空间；在场域拓展层面，结合虚拟现实技术打破物理课堂边界，构建虚实融合的教育场域。但技术赋能也衍生出三重结构性现实挑战：智能工具泛在化应用解构传统导学关系；算法决策机制易导致学生认知趋同与思维惰性；虚拟场域扩张弱化现实场域功能。研究建议，拔尖创新人才培养需秉持技术向善原则，通过加强师资队伍培训、建设新型学术共同体，破“五唯”和立新标相结合、优化评价模式，突破传统教育时空边界，构建培养新范式，进一步拓宽人工智能赋能拔尖创新人才培养的政策空间，从而实现人工智能与拔尖创新人才培养的深度适配，最终形成技术赋能与教育本质相统一的新型拔尖创新人才培养范式。

Artificial intelligence(AI) has forged multiple technological pathways for cultivating top-notch innovative talents. At the level of teaching practice, intelligent-assisted teaching enables precision learning analytics and personalized instructional design, facilitating the transformation of teachers' roles from knowledge transmitters to learning facilitators. In learning support systems, adaptive recommendation systems integrated with multimodal resource repositories construct personalized deep-learning spaces. Regarding educational spatial expansion, virtual reality(VR) technologies dismantle the constraints of physical classrooms, establishing hybrid educational ecosystems integrating virtual and physical dimensions. However, three structural challenges emerge from technological empowerment: the pervasive deployment of intelligent tools deconstructs traditional mentor-apprentice relationships; algorithmic decision-making mechanisms risk inducing cognitive homogenization and intellectual passivity among students; the expansion of virtual domains diminishes the pedagogical efficacy of physical learning environments. This study proposes that cultivating top-notch innovative talents requires adherence to the principle of benevolent technology application. Strategic recommendations include: enhancing faculty development programs to construct new academic communities; reforming evaluation systems through dismantling the “five-only criteria” and establishing innovation-oriented assessment paradigms; developing novel cultivation frameworks that transcend traditional spatiotemporal boundaries of education. These measures aim to expand the policy landscape for AI-empowered talent cultivation, achieve profound synergy between artificial intelligence and innovative talent development, and ultimately establish a new cultivation paradigm that harmonizes technological empowerment with educational essence.