首页|小学人工智能课堂教学行为分析研究

小学人工智能课堂教学行为分析研究

扫码查看
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.
An Analysis of AI Classroom Teaching Behavior in Primary Schools
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.

Elementary school AI courseClassroom teaching behaviorLag Sequential Analysis

李晓敏、郑友娴、刘昊、董一龙、陈娬、钟景迅

展开 >

华南师范大学教育信息技术学院,广东 广州 510631

华南师范大学教育科学学院,广东 广州 510631

小学人工智能课 课堂教学行为 滞后序列分析

2024

数字教育

数字教育

ISSN:
年,卷(期):2024.10(4)