【作 者】：
骆丰浩， 王欢欢， 达 婷
【关 键 词 】：
人机协同； 教师创新能力； 5C理论； 模型构建； 教师专业发展
【栏 目】：
学科建设与教师发展
【中文摘要】：
教师创新能力是推动教学质量提升、促进学生发展以及适应人工智能背景下教育变革的关键要素。生成式人工智能等技术的发展为教师创新能力的培养提供了技术支持，将其融入人机协同的教师研修，有望提升教师的深度交互能力与创新潜能。研究基于 5C 理论构建包含集体协作层、协作机制层、贡献生成层、社区支持层与情境适配层的五元模型，设计“协同知识建构—创意激发共创—成果优化展示”三阶段研修活动，从教师个体、人机协同成果及协作过程三个维度展开实证分析。研究发现，研修活动显著提升了教师个体创新能力及技术整合专业水平，人机协同成果质量随交互深度的增加而显著提升。此外，研修通过实践效能、认知拓展、能力进阶、情感态度及环境保障五个方面，推动了协同创新进程。最后基于研究发现提出建议，旨在为教师专业发展提供新思路，提升研修活动的有效性并推动教育数字化转型中教师角色的实质性重塑。
【英文摘要】：
Teachers' innovative ability is a crucial element for promoting the improvement of teaching quality, facilitating students' development, and adapting to educational reforms in the context of artificial intelligence. The development of technologies such as generative artificial intelligence provides technical support for the cultivation of teachers' innovative ability. Integrating these technologies into human-machine collaborative teacher research and training is expected to enhance teachers' in-depth interaction ability and innovative potential. Based on the 5C theory, this study constructs a five-element model including the collective collaboration layer, collaboration mechanism layer, contribution generation layer, community support layer, and context adaptation layer. It designs a three-stage research and training activity of "collaborative knowledge construction, creative inspiration and co-creation, achievement optimization and display", and conducts empirical analysis from three dimensions: individual teachers, human-machine collaborative achievements, and the collaboration processes. The study finds that the research and training activities significantly improve teachers' individual innovative ability and their technical integration expertise, and the quality of human-machine collaborative achievements has significantly improved as the depth of interaction increases. In addition, the research and training activities promote the process of collaborative innovation through five aspects: practical effectiveness, cognitive expansion, ability advancement, emotional attitude, and environmental guarantee. Finally, suggestions are put forward based on the research findings, aiming to provide new ideas for teacher professional development, enhance the effectiveness of research and training activities, and promote the substantial reshaping of teachers' roles in the digital transformation of education.