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首页> 外文期刊>Frontiers in ICT >Toward a Neurobiological Basis for Understanding Learning in University Modeling Instruction Physics Courses
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Toward a Neurobiological Basis for Understanding Learning in University Modeling Instruction Physics Courses

机译:迈向了解大学建模指导物理课程学习的神经生物学基础

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Modeling Instruction (MI) for University Physics is a curricular and pedagogical approach to active learning in introductory physics. A basic tenet of science is that it is a model-driven endeavor that involves building models, then validating, deploying, and ultimately revising them in an iterative fashion. MI was developed to provide students a facsimile in the university classroom of this foundational scientific practice. As a curriculum, MI employs conceptual scientific models as the basis for the course content, and thus learning in a MI classroom involves students appropriating scientific models for their own use. Over the last ten years, substantial evidence has accumulated supporting MIa??s efficacy, including gains in conceptual understanding, odds of success, attitudes toward learning, self-efficacy, and social networks centered around physics learning. However, we still do not fully understand the mechanisms of how students learn physics and develop mental models of physical phenomena. Herein, we explore the hypothesis that the MI curriculum and pedagogy promotes student engagement via conceptual model building. This emphasis on conceptual model building, in turn, leads to improved knowledge organization and problem solving abilities that manifest as quantifiable functional brain changes that can be assessed with functional magnetic resonance imaging (fMRI). We conducted a neuroeducation study wherein students completed a physics reasoning task while undergoing fMRI scanning before (pre) and after (post) completing a MI introductory physics course. Preliminary results indicated that performance of the physics reasoning task was linked with increased brain activity notably in lateral prefrontal and parietal cortices that previously have been associated with attention, working memory, and problem solving, and are collectively referred to as the central executive network. Critically, assessment of changes in brain activity during the physics reasoning task from pre- versus post-instruction identified increased activity after the course notably in the posterior cingulate cortex (a brain region previously linked with episodic memory and self-referential thought) and in the frontal poles (regions linked with learning). These preliminary outcomes highlight brain regions linked with physics reasoning and, critically, suggest that brain activity during physics reasoning is modifiable by thoughtfully designed curriculum and pedagogy.
机译:大学物理建模教学(MI)是入门性物理学中主动学习的课程和教学方法。科学的基本原则是,这是一种模型驱动的工作,涉及构建模型,然后以迭代方式验证,部署和最终修改它们。 MI的开发旨在为学生提供这种基础科学实践的传真。作为课程,MI采用概念性科学模型作为课程内容的基础,因此在MI教室中学习需要学生自行分配科学模型供自己使用。在过去的十年中,积累了大量证据来支持MIa的功效,包括在概念理解,成功几率,对学习的态度,自我效能以及围绕物理学习的社交网络方面的收获。但是,我们仍然不完全了解学生学习物理和发展物理现象的心理模型的机制。在本文中,我们探讨了MI课程和教学法通过概念模型构建促进学生参与的假设。反过来,对概念模型构建的强调又导致了知识组织和问题解决能力的提高,这些能力表现为可以通过功能磁共振成像(fMRI)评估的可量化功能性大脑变化。我们进行了一项神经教育研究,其中学生在完成MI入门物理课程之前(之前)和之后(之后)进行fMRI扫描时,完成了物理推理任务。初步结果表明,物理推理任务的执行与大脑活动的增加有关,特别是在侧前额叶和顶叶皮层皮质中,这些大脑先前与注意力,工作记忆和问题解决能力相关联,并统称为中央执行网络。至关重要的是,在进行物理推理任务之前和之后的教学过程中对大脑活动的评估表明,该过程后活动明显增加,特别是在后扣带回皮层(先前与情景记忆和自我指称思想相关的大脑区域)和额叶(与学习有关的区域)。这些初步结果突显了与物理推理相关的大脑区域,并且批判地表明,通过精心设计的课程和教学法可以修改物理推理过程中的大脑活动。

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