在EFL背景下生成人工智能:对中国高等教育学习者认知失调模式和自我调节策略的Q方法分析
Chenxi Zheng1, Yongxiang Wang1
1School of Foreign Languages and Cultures, Nanjing Normal University, Nanjing, the People's Republic of China.
Acta psychologica
|February 24, 2026
概括
英语学习中的生成人工智能 (GenAI) 为学生创造了认知失调. 这项研究确定了三种不和类型和六种策略,中国大学生用来管理这些紧张局势.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 学习心理学学习的心理学.
背景情况:
- 生成型人工智能 (GenAI) 越来越多地用于英语作为外语 (EFL) 教育,以实现个性化的学习.
- 与EFL中GenAI使用相关的学习者心理紧张,特别是认知失调,尚未得到充分研究.
- 现有的研究经常使用接受模型,限制了对共存紧张和学习者应对机制的理解.
研究的目的:
- 研究中国大学生在使用GenAI学习英语时如何体验和调节认知失调.
- 为了确定关于GenAI辅助的EFL学习的主观观点的模式.
- 将异调配置映射到自我调节反应上,以获得实际意义.
主要方法:
- 基于认知失调理论,这项研究采用了Q方法,对25名中国大学生进行了研究.
- 参与者对45个关于GenAI辅助的EFL学习的陈述进行了排序.
- 通过使用Varimax旋转,PQMethod和KADE软件进行主要成分分析来分析数据.
主要成果:
- 确定了三种突出的不和类型:效率-能力,工具-传统和信任-依赖不和.
- 发现了六种自我监管策略:选择性忽视,序列化,重构,基于背景的实践,验证和基于合规性的合理化.
- 建立了异调模式的类型及其相应的自我调节反应.
结论:
- 在EFL学习中的GenAI提出了超越简单接受的独特心理挑战.
- 了解和解决认知失调对于在教育中有效整合GenAI至关重要.
- 调查结果为课堂指导和为学习者设计支持性GenAI工具提供了信息.
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