数智时代循证教研共同体中教师协作的理念模型与过程模型OA
Conceptual and process models of teachers'collaboration in evidence-based teaching research communities in the digital intelligence era
数智时代为循证理念融入教师学习共同体提供了全新机遇.现实中由于教师技术素养受限,且缺乏具体可操作的协作教研模式,循证教研共同体难以实现突破与创新.针对数智时代循证教研共同体中教师协作的角色如何分工、如何实现有效循证等问题,通过梳理循证教研共同体的概念、国内外教研共同体的实践形式,以及循证教研共同体中教师协作的影响因素,结合Hord的五要素论,提炼循证教研共同体的构成要素,并构建循证教研共同体中教师协作的理念模型和过程模型,指出循证教研共同体的运行应该基于现实教育问题,借助人工智能完成有效循证,并实现教研前、教研中、教研后全流程的有机融合,以期为数智时代教师教研的突破创新提供借鉴.
The era of digital intelligence presents new opportunities for integrating evidence-based education into teacher learning communities.In practice,however,limitations in teachers'tech-nological literacy and the lack of concrete,operational modes for collaborative teaching research hin-der innovation and breakthroughs in evidence-based teaching research communities.Addressing prob-lems such as how to allocate roles in teacher Collaborating and how to achieve effective evidence-based practices within such communities,this study reviews the concept of evidence-based teaching research communities,examines the practices of teaching research communities in domestic and inter-national contexts,and analyzes the factors influencing teachers'collaboration in the evidence-based teaching research comminities.Drawing on Hord's five essential elements,the study refines the core components of evidence-based teaching research communities and constructs both a conceptual frame-work and a process model for teachers'collaboration within them.The findings suggest that the opera-tion of evidence-based teaching research communities should be grounded in real educational prob-lems,supported by artificial intelligence to achieve effective evidence use,and integrated across the entire cycle of pre-,during-,and post-research activities.This study aims to proride reference for the break though and imovation of teaching research practices in the digital intelligence era.
陈蕾;刘向永
江南大学人文学院,江苏 无锡 214122江南大学人文学院,江苏 无锡 214122
社会科学
教师学习共同体教师教研协作教研循证教研人工智能
teacher learning communityteacher researchcollaborative teaching researchevidence-based teaching researchartificial intelligence
《中国医学教育技术》 2026 (2)
163-170,8
2022年国家社会科学基金教育学一般课题"基于多模态数据的教师教研共同体研究"(BCA220212)
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