脚手架,屏幕和准备:教师引导的人工智能如何将特殊教育学生提升为对话代理
Lan Liu1, Wen Liu2, Ziwei Luo3
1School of Teacher Education, Suqian University, Suqian, Jiangsu, China; Department of Education Management, China-ASEAN International College, Dhurakij Pundit University, Bangkok, Thailand.
Acta psychologica
|November 5, 2025
概括
教师人工智能支架显著提高了特殊教育学生的人工智能准备. 这种支持通过感知智能和自我调节的学习来增强聊天机器人的使用,特别是通过更大的教育技术暴露.
科学领域:
- 教育技术的教育技术
- 特殊教育 特殊教育
- 人工智能的人工智能
背景情况:
- 教师人工智能脚手架,定义为人工智能工具使用的支持性指导,对残疾学生至关重要.
- 了解特殊教育学生的AI准备对于有效的技术整合至关重要.
- 自决理论 (SDT) 提供了一个研究技术采用动机因素的框架.
研究的目的:
- 调查教师人工智能支架对特殊教育学生对话性人工智能准备能力的影响.
- 探索被认为的聊天机器人教学智能和数字自我调节学习的调解作用.
- 检查EdTech媒体沉浸对这些关系的调节效应.
主要方法:
- 在中国五个省份对562名残疾本科生进行了调查.
- 使用基于自决理论 (SDT) 的Smart_PLS测试了一种调节调解模型.
- 统计分析包括直接,间接和相互作用效应.
主要成果:
- 教师的人工智能支架对学生的人工智能准备有着很小但显著的直接积极影响 (β = 0.12,p < .01).
- 这些效应显著受到聊天机器人的教学智能 (CI 0.08-0.12) 和数字自我调节学习 (CI 0.10-0.16) 的影响.
- 教育技术媒体沉浸加强了这些间接途径,特别是通过自我调节的路径 (交互效应 = 0.06,p < .05).
结论:
- 教师人工智能支架对于培养特殊教育学生的人工智能准备能力至关重要,与SDT原则保持一致.
- 包含教师引导的AI架构的包容性教育计划可以提高聊天机器人的接受度.
- 教育政策应优先考虑在中国背景下对人工智能增强学习和数据保护的教师培训.
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