义务教育阶段教师AI技术适应类型及影响因素OA
Types and Influencing Factors of Teachers'Adaptation to AI Technology in Compulsory Education
在人工智能加速融入基础教育教学的背景下,教师对 AI 技术的适应状况成为影响教育数字化转型质量的重要议题.文章基于社会认知理论,采用潜在剖面分析方法对 2239 名义务教育阶段的教师进行问卷调查,探究其 AI 技术适应的潜在类型及其影响因素.结果表明,教师的 AI 技术适应呈现出均衡适应、技术融合、焦虑适应、技术疏离四种类型.教师技术适应受多重人口学变量的影响:男教师更易形成焦虑适应类型;私立学校教师更可能归属于技术融合和焦虑适应两种高投入类型;相较于其他学科教师,信息技术教师拥有更高的适应水平.此外,AI 学习经验和组织支持对教师技术适应起"双刃剑"作用.文章的研究揭示了教师 AI 技术适应过程中认知评估、情绪应答与行为意向的复合组合特征,为促进教育智能化转型中的教师专业发展提供理论依据和实践指导.
Against the backdrop of the accelerated integration of artificial intelligence into basic education,teachers'adaptation to AI technology has become a critical issue affecting the quality of digital transformation in education.Based on social cognitive theory,this study conducts a questionnaire survey of 2239 compulsory education teachers and adopted latent profile analysis to explore the latent profiles of teachers'AI technology adaptation and their influencing factors.The results identify four distinct profiles of teachers'AI technology adaptation:balanced adaptation,technology integration,anxious adaptation,and technology alienation.Teachers'technology adaptation is affected by multiple demographic variables:male teachers are more likely to fall into the anxious adaptation profile;teachers in private schools tend to belong to the two high-involvement profiles,namely technology integration and anxious adaptation.Compared with teachers of other subjects,information technology teachers demonstrate higher levels of adaptation.Furthermore,AI learning experience and organizational support exert a double-edged sword effect on teachers'technology adaptation.This study reveals the composite characteristics of cognitive appraisal,emotional response,and behavioral intention combine in teachers'AI adaptation process,and offer theoretical foundations and practical guidance for teachers'professional development amid the intelligent transformation of education.
胡湜;乔雪峰;李磊
南京师范大学 青少年教育与智能支持实验室,江苏 南京 210097南京师范大学 青少年教育与智能支持实验室,江苏 南京 210097南京师范大学 教育科学学院,江苏 南京 210097
社会科学
人工智能教师AI技术适应潜在剖面分析社会认知理论
artificial intelligenceteacher AI technology adaptationlatent profile analysissocial cognitive theory
《现代教育技术》 2026 (9)
93-101,9
本文为国家社会科学基金2022年度教育学一般课题"基于复杂适应系统分析的县域中小学教师高质量发展模式转型研究"(项目编号:BFA220175)的阶段性研究成果.
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