2017
DOI: 10.1002/bmb.21093
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The polygonal model: A simple representation of biomolecules as a tool for teaching metabolism

Abstract: Metabolism involves numerous reactions and organic compounds that the student must master to understand adequately the processes involved. Part of biochemical learning should include some knowledge of the structure of biomolecules, although the acquisition of such knowledge can be time-consuming and may require significant effort from the student. In this report, we describe the "polygonal model" as a new means of graphically representing biomolecules. This model is based on the use of geometric figures such a… Show more

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“…The complex and overlapping nature of metabolic pathways hinder students' overall view of the processes, making it challenging for educators to teach and for students to learn metabolism effectively without the need to memorize. [1][2][3] Various efforts to improve the situation have been reported over the years ranging from the implementation of special teaching arrangements, 1 role-play, 4 The Polygonal Model, 5 team-based learning, 6 animation, 2 virtual reality (VR), 7 augmented reality (AR) 8 and LEGO brick modeling. 9 Together, these efforts were targeting metabolism as a whole, with selected few putting emphasis on glucose metabolism.…”
Section: Introductionmentioning
confidence: 99%
“…The complex and overlapping nature of metabolic pathways hinder students' overall view of the processes, making it challenging for educators to teach and for students to learn metabolism effectively without the need to memorize. [1][2][3] Various efforts to improve the situation have been reported over the years ranging from the implementation of special teaching arrangements, 1 role-play, 4 The Polygonal Model, 5 team-based learning, 6 animation, 2 virtual reality (VR), 7 augmented reality (AR) 8 and LEGO brick modeling. 9 Together, these efforts were targeting metabolism as a whole, with selected few putting emphasis on glucose metabolism.…”
Section: Introductionmentioning
confidence: 99%