基于经验学习圈构建AI支持下的教师研修模式  

Building An AI-Supported Teacher Training ModelBased on Experiential Learning Cycle

作　　者：刘清堂[1] 郑欣欣 吴林静[1] 李小娟[1] LIU Qingtang;ZHENG Xinxin;WU Linjing;LI Xiaojuan(Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan Hubei 430079)

机构地区：[1]华中师范大学人工智能教育学部,湖北武汉430079

出　　处：《电化教育研究》2021年第10期114-120,128,共8页E-education Research

基　　金：2021年湖北省教育科学规划项目“构建线上线下融合的课堂新型教学模式创新实证研究”(项目编号:2020GA005);2020年国家自然科学基金项目“数据驱动的学习动机诊断模型及应用研究”(项目编号:61977035)。

摘　　要：利用人工智能等新技术支持教师队伍发展是教育领域的研究热点。当前,教师教研活动的开展存在评价的客观性、深度性和针对性等问题,直接影响教师培训的质量。如何借助人工智能开展教师研修伴随式数据采集与过程性评价,服务于教师信息化教学能力的提升,成为学界关注的焦点之一。在经验学习圈理论的视角下,构建了AI支持下的教师研修模式(AISTTM),以具体经验获取—反思性观察—抽象概括—积极实践为基本研修环节,借助教研员点评目标达成度、观察教师评价教学表现、专家点评师生行为、主讲教师自评的多维评价方法开展研修活动。基于AISTTM,在宁夏回族自治区某试点学校开展同课异构的教师研修实践活动,证明了AISTTM能够通过循环的研修流程促进教师的专业发展,通过多维评价方法实现对教师的全方位评估。The use of new technologies such as artificial intelligence to support teacher development is a hot issue in the field of education.Currently,it is found that in teachers'teaching and research activities,the evaluation is lack of objectivity,depth and pertinence,which directly affect the quality of teacher training.How to use artificial intelligence to carry out the data collection and process evaluation of teachers'research and training to serve the improvement of teachers'informatization-based teaching ability has become the focus of academic research.From the perspective of experiential learning cycle theory,the AI-supported teacher training model(AISTTM)has been developed,with"concrete experience acquisition—reflective observation—abstract generalization—active practice"as the basic research and training link.The research and training activities are carried out through a multi-dimensional evaluation method in which the teacher researcher comments on the achievement of objectives,the observing teacher evaluates teaching performance,the expert reviews the behavior of teachers and students,and the lecturer carries out self-assessment.Based on AISTTM,a pilot school in the Ningxia Hui Autonomous Region has carried out research and training activities for teachers with heterogeneous classes,demonstrating that AISTTM can promote teachers'professional development through a circular training process and evaluate teachers in a holistic manner through the multidimensional evaluation method.

关 键 词：研修模式 人工智能 经验学习圈 同课异构 

分 类 号：G434[文化科学—教育学]