在现实学习中重新检查认知负载指标:来自主观和神经生理数据的证据
1Institute of Education, Tsinghua University, Beijing, China.
The British journal of educational psychology
|December 19, 2024
概括
认知负载指标,如难度和努力,并不总是一致的. 神经生理学数据揭示了不同的潜在机制,突出了教育研究中联合评估的必要性.
科学领域:
- 教育心理学教育心理学
- 认知科学 认知科学
- 神经科学是一个神经科学.
背景情况:
- 认知负载理论是教育研究和教学设计的核心.
- 现有的认知负载指标 (例如,心理努力的自我报告尺度,任务难度) 经常被使用,但由于隐含的性质和不同的视角,可能无法完全捕捉构造.
- 现实世界的学习复杂性挑战了关于认知负载变量的单调关系的简化实验假设.
研究的目的:
- 调查不同认知负载指标之间的一致性.
- 探索认知负载评估中观察到的差异的神经生理基础.
- 在教育环境中提高认知负载测量的有效性.
主要方法:
- 在现实世界 (课堂数学) 和实验室环境中收集数据.
- 使用了自我报告措施以及多式神经生理学数据,包括脑电图 (EEG),皮肤电活动 (EDA) 和光斑血图 (PPG).
- 参与了22名高中生在13个数学课堂 (研究1) 和30名学生在6个基于实验室的数学任务 (研究2) 中.
主要成果:
- 自我报告的任务难度与精神努力没有一致的相关性,除非在特定的负载范围内.
- 神经生理学证据证实了措施之间的概念差异.
- 对于看似相似的认知负载结构,确定了不同的神经生理模式,支持群体差异.
结论:
- 这项研究强调了各种认知负载指标之间的概念差异.
- 结果突出了整合多种测量方法的必要性,以全面评估学生的认知负载.
- 强调神经生理学数据在理解认知负载细微差别方面的重要性.
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