Toward a Neurobiological Basis for Understanding Learning in University Modeling Instruction Physics Courses.
Autor: | Brewe E; Department of Physics, School of Education, Drexel University, Philadelphia, PA, United States., Bartley JE; Department of Physics, Florida International University, Miami, FL, United States., Riedel MC; Department of Physics, Florida International University, Miami, FL, United States., Sawtelle V; Lyman Briggs College, Department of Physics and Astronomy, Michigan State University, Lansing, MI, United States., Salo T; Department of Psychology, Florida International University, Miami, FL, United States., Boeving ER; Department of Psychology, Florida International University, Miami, FL, United States., Bravo EI; Department of Psychology, Florida International University, Miami, FL, United States., Odean R; Department of Psychology, Florida International University, Miami, FL, United States., Nazareth A; Department of Psychology, Temple University, Philadelphia, PA, United States., Bottenhorn KL; Department of Psychology, Florida International University, Miami, FL, United States., Laird RW; Department of Physics, Florida International University, Miami, FL, United States., Sutherland MT; Department of Psychology, Florida International University, Miami, FL, United States., Pruden SM; Department of Psychology, Florida International University, Miami, FL, United States., Laird AR; Department of Physics, Florida International University, Miami, FL, United States. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in ICT (Lausanne, Switzerland) [Front ICT] 2018 May; Vol. 5. Date of Electronic Publication: 2018 May 24. |
DOI: | 10.3389/fict.2018.00010 |
Abstrakt: | 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 10 years, substantial evidence has accumulated supporting MI'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- vs. 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. Competing Interests: Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. |
Databáze: | MEDLINE |
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