首页|人工智能赋能教学背景下教师适应性测评指标体系的构建研究

人工智能赋能教学背景下教师适应性测评指标体系的构建研究

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人工智能赋能教学是新时代促使教育快速变革的创新驱动力.构建人工智能赋能教学背景下教师适应性测评指标体系有利于衡量与诊断教师人工智能技术赋能教学的适应情况和存在的问题,为完善或改进人工智能赋能教学实践提供指导,对于理解教师课堂教书育人效果具有重要的理论与实践意义.通过三轮德尔菲专家访谈法构建了教师人工智能赋能教学适应性指标体系并通过层次分析法确定了指标权重.指标体系包括 5 个一级指标、13 个二级指标和 32 个三级指标,能较全面地识别教师人工智能赋能教学适应性特征,能对人工智能教学环境下教师教学适应水平进行科学、公正、客观、全面的衡量比较与综合评判,为教师教育发展提供参考.
Research on the Construction of Teacher Adaptability Evaluation Index System under the Background of Artificial Intelligence Empowered Teaching
Artificial intelligence empowered teaching is the innovative driving force to promote the rapid change of education in the new era.The construction of teacher adaptability index system under the background of artificial intelligence empowered teaching is beneficial to the measurement and diagnosis of teachers'adapting to artificial intelligence empowered teaching and the existing problems,and provides guidance for the improvement of artificial intelligence empowered teaching practice,which is of important theoretical and practical significance for high-level understanding of teachers'classroom teaching education effect.The teacher adaptability index system of artificial intelligence empowered teaching is constructed through three rounds of delphi expert interview method,and the index weight is determined through the hierarchy analysis.The index system includes five first level indicators,13 second level indicators and 35 third level indicators.The index system can comprehensively identify the teachers'adaptability characteristics of artificial intelligence empowered teaching.It can make scientific,fair,objective and comprehensive measurement and evaluation of teachers'teaching adaptation level in the artificial intelligence teaching environment,so as to provide reference for the development of teacher education.

teacherartificial intelligenceadaptabilityindex system

李协吉、孙洪涛、高佩琪

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湖南科技大学 体育学院,湖南 湘潭 411201

湖南师范大学 教育科学学院,湖南 长沙 410081

教师 人工智能 适应性 指标体系

2024

当代教育理论与实践
湖南科技大学

当代教育理论与实践

CHSSCD
影响因子:0.413
ISSN:1674-5884
年,卷(期):2024.16(6)