Using expert data to inform the use of research methods and representations to enhance biochemistry instruction and textbook design.

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2019
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Abstract
Biochemistry textbooks often provide a disconnected, highly mathematical, and decontextualized treatment of thermodynamic and kinetic principles, which renders topics like protein folding difficult to teach. This is concerning given that graduates entering careers, like the pharmaceutical industry, must be able to apply such knowledge and related research methods to solve biochemistry research problems. Thus, it is essential that instructors have strategies to incorporate research methods and representations to help students understand the source of such scientific knowledge. Therefore, the goal of our work is to examine expert practice and use the findings to identify instructional strategies to incorporate more cutting-edge research and authentic ways of knowing into science classrooms and textbooks. Toward this goal, we examined how four scientists explain protein folding and dynamics research, focusing on the interaction of spoken language and representations, including gesture. Our analysis indicates that experts employ multiple representations and research methods to communicate how evidence can be used to understand phenomena. In contrast, textbooks explain what is known but seldom use representations to explain how it is known. Based on our findings, we suggest implications for instruction, including the design of textbooks, as well as potential instructional strategies to incorporate discussion of experimental methods and interpretation of representations during classroom activities. © 2019 International Union of Biochemistry and Molecular Biology, 47(5):513-531, 2019.
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jeffery2019usingbiochemistry Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jeffery, Kathleen A;Pelaez, Nancy J;Anderson, Trevor R;
Journal biochemistry and molecular biology education : a bimonthly publication of the international union of biochemistry and molecular biology
Year 2019
DOI
10.1002/bmb.21255
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