智能时代教育新生态的重构正在深刻变革大学课程、教学与评价的内容与模式。以数据驱动和智能化为逻辑基础的新一代信息科技有助于实现差异化、个性化、精细化的教学。不断加深的“数智融合”要求大学以人工智能技术为支撑，深化课程教学改革，探索新型教学场景和未来学习模式。人工智能技术的发展将如何助力大学生学习的弹性？如何才能使人工智能在教学嵌入中超越浅表的辅助，服务于学生的深度学习？评价方式需要进行怎样的更新和调整与数智时代人才培养目标互相匹配？如何提升教师的教学效能而进一步释放教师的创新能力？

The restructuring of the educational ecosystem in the intelligent era is fundamentally reshaping university courses, teaching methodologies, and assessment practices. The emergence of new information technologies, rooted in data-driven and intelligent approaches, facilitates differentiated, personalized, and refined teaching methods. The deepening “integration of digital intelligence (数智融合)” necessitates universities to harness AI technologies to bolster and deepen curriculum reforms, exploring novel teaching scenarios and future learning modes.

How will the advancement of AI technology enhance the resilience of student learning at universities? How can AI integration in teaching transcend mere superficial assistance to foster profound learning experiences for students? What adaptations and refinements in assessment methods are necessary to align with talent development goals in the era of digital intelligence? Moreover, how can we enhance teaching efficiency to better unleash the innovative capabilities of educators?