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首页> 外文期刊>NPJ science of learning. >Brain activity links performance in science reasoning with conceptual approach
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Brain activity links performance in science reasoning with conceptual approach

机译:脑活动与概念方法的科学推理中的表现

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摘要

Understanding how students learn is crucial for helping them succeed. We examined brain function in 107 undergraduate students during a task known to be challenging for many students-physics problem solving-to characterize the underlying neural mechanisms and determine how these support comprehension and proficiency. Further, we applied module analysis to response distributions, defining groups of students who answered by using similar physics conceptions, and probed for brain differences linked with different conceptual approaches. We found that integrated executive, attentional, visual motion, and default mode brain systems cooperate to achieve sequential and sustained physics-related cognition. While accuracy alone did not predict brain function, dissociable brain patterns were observed when students solved problems by using different physics conceptions, and increased success was linked to conceptual coherence. Our analyses demonstrate that episodic associations and control processes operate in tandem to support physics reasoning, offering potential insight to support student learning.? The Author(s) 2019.
机译:了解学生学习的知识对于帮助他们成功至关重要。我们在107名本科学生中检查了大脑功能,在已知许多学生 - 物理问题解决方面的任务中挑战 - 以潜在的神经机制为特征,并确定这些支持理解和熟练程度的方式。此外,我们将模块分析应用于响应分布,定义通过使用类似物理概念回答的学生组,并探讨与不同概念方法相关的脑差异。我们发现综合执行,注意力,视觉运动和默认模式脑系统合作,实现了持续和持续的物理学相关认知。虽然单独的准确性没有预测大脑功能,但是当学生通过使用不同的物理概念解决问题时,观察到可解离的脑模式,并且增加的成功与概念一致性有关。我们的分析表明,情节协会和控制流程在串联中运营,以支持物理推理,提供支持学生学习的潜在洞察力。作者2019年。

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