摘要
课堂教学行为分析能有效帮助研究者、教学者了解课堂特征、发现教学问题,促进其进行教学反思并提升课堂质量。本研究以12节2022学年G市中小学人工智能优秀课例的教学视频为研究对象,采用滞后序列分析法,对所选取的优秀课例的教学视频进行对比分析,并结合具体的教学片段进行个案分析,从教学主体、教学内容、教学范式、教学设备等4个维度进行辨识,总结出优质小学人工智能课堂特征,并在此基础上提出了相应的建议,以期提升人工智能教师的教学能力。
The analysis of classroom teaching behaviors can effectively help researchers and teachers understand classroom characteristics,identify teaching problems,promote teaching reflection and improve classroom quality.Taking the teaching videos of 12 excellent examples of AI classes in primary and secondary schools in G city in the school year of 2022 as the research object,this paper conducts a comparative analysis of the teaching videos of the selected excellent examples by using the Lag Sequential Analysis method,and conducts a case study in conjunction with the specific teaching clips to identify the four dimensions of the teaching subject,teaching content,teaching paradigm,and teaching equipment.Finally,it summarizes the characteristics of high-quality elementary school AI classroom and puts forward corresponding suggestions with a view to improving the teaching ability of AI teachers.
作者
李晓敏
郑友娴
刘昊
董一龙
陈娬
钟景迅
Li Xiaomin;Zheng Youxian;Liu Hao;Dong Yi long;Chen Wu;Zhong Jingxun(School of Information Technology in Education,South China Normal University,Guangzhou,Guangdong,China 510631;School of Education,South China Normal University,Guangzhou,Guangdong,China 510631)
出处
《数字教育》
2024年第4期38-43,共6页
Digital Education
基金
国家社会科学基金教育学2022年度一般课题“‘双减’背景下义务教育教师负担的发生机制及治理对策研究”(BFA220185)。
关键词
小学人工智能课
课堂教学行为
滞后序列分析
Elementary school AI course
Classroom teaching behavior
Lag Sequential Analysis
