超越工具使用:生态合如何配置人工智能对语言学习参与的授权
Lingya Ge1,2, Yun Xia1,3, Chengfang Yang4
1College of Chinese Language and Literature, Qufu Normal University, Qufu, China.
Frontiers in psychology
|February 9, 2026
概括
人工智能 (AI) 通过与教师,同学和环境相结合来增强语言学习参与度. 最佳的人工智能使用取决于可持续的学习参与的战略生态治理.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 语言学习 语言学习
背景情况:
- 现有的研究通常将人工智能视为教育中的独立工具.
- 生态系统理论 (EST) 和生态负担能力理论 (EAT) 为理解学习环境提供了框架.
- 人工智能作为更广泛的学习生态系统中的交互代理的作用需要进一步调查.
研究的目的:
- 开发和测试一个AI授权配置模型,解释AI对语言学习参与的影响.
- 研究生态合在人工智能授权学习中的调解作用.
- 根据人工智能集成识别不同的学习者配置.
主要方法:
- 在475名中国大学的语言学习者中,采用了混合方法的方法.
- 开发和测试了人工智能授权配置模型.
- 隐形形象分析 (LPA) 用于识别学习者配置.
主要成果:
- 人工智能对参与的积极影响在很大程度上是由感知到的生态合 (教师,同龄人,环境) 介导的.
- 三种不同的学习者配置出现了:低,中等和高合参与度.
- 这些配置在整合AI方面有系统的不同.
结论:
- 该研究将重点从人工智能工具的实施转移到战略生态治理.
- 有效的人工智能集成需要在学习生态系统中的人-人工智能协同合.
- 这些发现为设计环境提供了实际的基础,以促进持续的语言学习参与.
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