释放人工智能在混合学习中提高学习成绩的潜力:一个元分析
Jiajun Wu1, Ahmed Tlili2, Soheil Salha3
1Faculty of Education, City University of Macau, Taipa, Macau SAR, China.
Frontiers in psychology
|November 17, 2025
概括
混合学习中的人工智能 (AI) 对学生的成绩产生了中等影响. 个性化人工智能系统带来了最大的收益,背景和研究设计影响了结果.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 混合学习的有效性已经确立,但整合人工智能 (AI) 的影响仍然不太清楚.
- 关于人工智能如何在混合学习环境中具体增强学习成绩的研究有限.
研究的目的:
- 通过元分析系统地评估人工智能增强混合学习对学生学习成绩的影响.
- 调查调节变量,如AI类型,干预时间,研究设计,样本大小,教育水平和学科.
主要方法:
- 对21项涉及2873名参与者的研究进行了元分析.
- 该分析检查了人工智能在混合学习中对学生成绩的影响大小.
- 分析了包括人工智能技术类型,干预时间,研究设计,样本大小,教育水平和学科领域在内的调节因素.
主要成果:
- 在混合学习中整合人工智能显示了对学生学习成绩的中等整体影响大小 (g = 0.5).
- 与聊天机器人和智能辅导系统相比,个性化的AI系统表现出最大的效果大小.
- 教育背景 (学年级,学科) 和实验设计 (持续时间,样本大小) 显著减轻了AI的影响.
结论:
- 人工智能在混合学习环境中显著提高了学生的学习成绩.
- 个性化人工智能方法在最大限度地提高学习收益方面特别有希望.
- 了解调节因素对于优化AI在教育中的整合至关重要.
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