小学人工智能教师画像构建研究  

Research on the Construction of Artificial Intelligence Teacher Portrait in Primary Schools

作　　者：柏宏权[1] 朱俊 BAI Hongquan;ZHU Jun(School of Education Science,Nanjing Normal University,Nanjing Jiangsu 210097)

机构地区：[1]南京师范大学教育科学学院,江苏南京210097

出　　处：《电化教育研究》2024年第7期96-104,共9页E-education Research

基　　金：2019年度国家社会科学基金教育学一般课题“大学生在线同伴互评效果改进研究”(课题编号:BCA190079)。

摘　　要：教师课堂教学的专业化水平是制约中小学人工智能教育高质量发展的关键问题。利用教师画像刻画教师教学模式和行为特征,多维度挖掘分析教师课堂教学表现,了解教师课堂教学的特征和不足并进行针对性提升,是解决人工智能教师专业成长难题的新途径。文章以30节小学人工智能课堂教学视频为研究样本,采用S-T分析和滞后序列分析法构建教师画像发现:小学人工智能教师课堂教学模式偏向对话型和混合型,教学行为存在“IRF循环”“指导联结”“沉默促进”三种典型模式,媒体应用行为呈现“技术倾向”“连续型”“传统媒体双向交互”三种模式。基于教师画像,文章提出了小学人工智能教师教学行为提升策略。The professionalism level of teachers'classroom teaching is the key issue that restricts the high-quality development of artificial intelligence(AI)education in primary and secondary schools.It is a new way to solve the problem of professional development of AI teachers to depict the teaching mode and behavior characteristics by using teacher portraits, excavate and analyze teachers' classroom performance in multiple dimensions, understand the characteristics and shortcomings of teachers' classroom teaching, and make targeted improvements. This paper takes 30 AI classroom teaching videos in primary schools as research samples, uses S-T analysis and lagged sequence analysis to construct teacher portraits, and finds that the classroom teaching mode of AI teachers in primary schools tends to be conversational and hybrid. There are three typical models of teaching behavior, namely IRF cycle, guidance linkage, silent promotion. Media application behavior exhibits three models of "technological orientation", "continuous type" and "two-way interaction with traditional media". Based on teacher portrait, the strategies to improve the teaching behavior of AI teachers in primary schools are proposed.

关 键 词：教师画像 课堂教学行为分析 小学人工智能教师 人工智能教学 滞后序列分析 

分 类 号：G434[文化科学—教育学]