摘要
生成式教学模式和人工智能技术相结合,为实现教与学的结构性对齐提供了动力。生成式教学模式确保教学设计的协调性,而人工智能支持教学的个性化和适应性。这种结合不仅提高了教学效率,还促进了教师和学生之间的互动,以及学生之间的协作学习,从而实现了更深层次的结构性对齐。人工智能加持的生成式教学模式通过三个主要途径促进了教与学的结构性对齐:个性化学习路径,实时反馈和支持,数据驱动的决策支持。其中,个性化学习路径的发展和完善,为学生的未来发展打下坚实基础;实时反馈能够即时、有针对性地促进学生的学习和发展;数据驱动的教育决策有助于多维度塑造和促进教与学的结构性对齐,促进教育个性化、公平性和有效性。
The combination of generative teaching models and artificial intelligence technologies has provided impetus for achieving structural alignment between teaching and learning.Generative teaching models ensure the coherence of instructional design,while artificial intelligence supports personalized and adaptive learning.This integration not only enhances teaching efficiency but also facilitates interaction between teachers and students,as well as collaborative learning among students,thereby achieving a deeper structural alignment.Generative teaching models empowered by AI promote structural alignment between teaching and learning through three primary avenues:personalized learning pathways,real-time feedback and support,and data-driven decision support.The development and refinement of personalized learning pathways lay a solid foundation for students'future development;real-time feedback can promptly and specifically promote student's learning and growth;data-driven educational decisions aid in shaping and promoting structural alignment between teaching and learning in multiple dimensions,fostering educational personalization,equity and effectiveness.
作者
冯媛媛
FENG Yuanyuan(School of Public Administration,Guizhou University,Guiyang,Guizhou,China,550025)
出处
《教育文化论坛》
2025年第1期61-69,共9页
Tribune of Education Culture
作者简介
冯媛媛,女,广西南宁人,贵州大学公共管理学院副教授。
