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面向批判性思维的教学反思智能体:模型构建及实证研究

郑玉敏 陈露露 上超望 蒙江 赵玉林

现代教育技术2026,Vol.36Issue(5):59-68,10.
现代教育技术2026,Vol.36Issue(5):59-68,10.DOI:10.3969/j.issn.1009-8097.2026.05.006

面向批判性思维的教学反思智能体:模型构建及实证研究

An Intelligent Agent for Teaching Reflection on Critical Thinking:Model Construction and Empirical Study

郑玉敏 1陈露露 1上超望 1蒙江 1赵玉林1

作者信息

  • 1. 华中师范大学 人工智能教育学部,湖北 武汉 430079
  • 折叠

摘要

Abstract

Providing students with appropriate reflective support is a key mechanism for fostering critical thinking,but traditional reflection methods remain limited in terms of personalized support and face challenge from"pseudo-reflection"caused by generative artificial intelligence.Teaching reflection agents have brought new opportunities for reconstructing reflection mechanisms,yet their impact on critical thinking remain to be thoroughly explored.Accordingly,based on critical thinking and GIBBS reflective theory,this paper constructed a teaching reflection agent model oriented toward critical thinking.Using a quasi-experimental design,the study conducted an empirical study with two classes from University S in Central China taking the"Internet Thinking and Digital Autonomous Learning"course to verify the effectiveness of the teaching reflection agent.The results showed that the teaching reflection agent significantly improved students'overall critical thinking levels.There were notable differences in the enhancement effects between high-and low-performing groups:the high-performing group exhibited greater improvement in critical thinking,while the low-performing group benefited more in terms of reflective interest and competency development.This study aimed to provide theoretical and practical references for the targeted instructional design of intelligent reflection tools and optimization strategies for critical thinking.

关键词

教学反思智能体/批判性思维/生成式人工智能/反思策略

Key words

instructional reflection agent/critical thinking/generative artificial intelligence/reflection strategies

分类

社会科学

引用本文复制引用

郑玉敏,陈露露,上超望,蒙江,赵玉林..面向批判性思维的教学反思智能体:模型构建及实证研究[J].现代教育技术,2026,36(5):59-68,10.

基金项目

本文为教育部人文社科规划基金项目"生成式AI嵌入学习评价场域中算法偏见的发生机理及干预策略研究"(项目编号:NO.25YJAZH142)的阶段性研究成果. (项目编号:NO.25YJAZH142)

现代教育技术

1009-8097

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