教学设计
心理学
数学教育
教育学
教学方法
高等教育
计算机科学
研究方法
教学发展
教师教育
作者
Guozhu Ding,Yiya Ou,Shan Li
标识
DOI:10.1016/j.tate.2026.105585
摘要
This study investigated the effectiveness of ChatGPT-generated feedback on pre-service teachers’ instructional design development through a quasi-experimental design. While both ChatGPT and teacher-generated feedback significantly improved instructional design scores, neither produced significant changes in broader design competencies. Pre-service teachers demonstrated high acceptance of ChatGPT feedback across performance expectancy, effort expectancy, facilitating conditions, and social influence dimensions. Analysis revealed that pre-service teachers receiving ChatGPT feedback were more likely to adapt and contextualize suggestions rather than implement them directly. These findings contribute to our understanding of how AI-generated feedback can be effectively integrated into teacher education programs.
科研通智能强力驱动
Strongly Powered by AbleSci AI