在流量理论中建模平衡公理: STEAM教育中的生理和计算方法
David Antonio Rosas1, Natalia Padilla-Zea2, Daniel Burgos2,3
1GUMTS Research Group on Fashion, Technology, and Sustainability, Universidad de Diseño, Innovación y Tecnología (UDIT), Av. Alfonso XIII, 97, 28016 Madrid, Comunidad de Madrid, Spain.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
这项研究发现,生理指导有助于教师和学生更快地达到近位发育区. 它还为流理论提供了数学支持.
科学领域:
- 教育心理学教育心理学
- 人与计算机的交互
- 学习科学 学习科学
背景情况:
- 流动理论描述了最佳的参与状态.
- 平衡的公理是流理论的核心.
- 在群体学习环境中理解流程是复杂的.
研究的目的:
- 用生理学和基于团体的方法研究流理论中的平衡公理.
- 探索同步生理流量咨询系统对学生学习和教师指导的影响.
- 将非线性分析应用于群流动力学.
主要方法:
- 一个近乎实验性的研究,在两个行动研究周期中使用混合方法.
- 在STEAM课程中参与了56名学生的控制和实验小组.
- 使用极地H10波段进行生理数据收集和非线性分析.
主要成果:
- 实验小组在有生理指导的情况下更快地到达近端发育区.
- 初步证据支持流理论中的平衡公理与生理学数据.
- 对组语境的非线性分析量化了Flow理论中以前的矛盾.
结论:
- 生理指导可以增强学习过程和教师支持.
- 这项研究为流理论原则提供了数学和生理学验证.
- 这些发现表明,在流理论中,有可能重新定义和提出新的假设.
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