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通过人工智能驱动的VR来增强数学建模能力
Nejla Gürefe1, Hava Öksüz2, Gülfem Sarpkaya Aktaş2
1Faculty of Education, Mersin University, Mersin, Türkiye.
PloS one
|December 23, 2025
概括
人工智能支持的虚拟现实 (AI-pVR) 显著提高了学生的数学建模技能. 这种方法增强了问题的理解,数学化和解释,导致更好的现实世界解决问题的能力.
科学领域:
- 数学教育教育 数学教育
- 教育技术的教育技术
- 人工智能的人工智能
背景情况:
- 提高学生的解决问题能力是数学教育的一个关键目标.
- 解决问题与日常生活中必不可少的数学建模能力有关.
研究的目的:
- 检查人工智能支持的VR教学模型对学生数学建模能力的影响.
- 评估AI-pVR对模拟能力的各个组成部分的有效性,包括解决问题的思维.
主要方法:
- 一项准实验性的混合设计研究,涉及30名6年级学生.
- 一个实验组使用了AI-pVR应用程序,而一个控制组接受了传统指令.
- 使用独立样本 t 测试和 ANCOVA 分析的定量数据;来自观察和意见表格的定性数据.
主要成果:
- 人工智能-pVR干预对整体数学建模能力产生了显著的大效应 (η2 = 0.37).
- 诸如问题简化,数学化和解释等子维度也显示出显著的大效应.
- 学生们报告说,他们对建模过程有了更好的理解,从分析现实生活中的问题到验证结果.
结论:
- 人工智能-pVR教学方法显著提高了学生的数学建模能力和子维度.
- 建议将AI应用程序集成到数学课程和课程计划中.
- 人工智能pVR显示了在教育环境中提高学生各种能力的潜力.
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