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Modelling activities integrating construction and simulation supported explanatory and evaluative reasoning
Authors:Gretchen P King  Heather Bergan-Roller  Nicholas Galt  Tomá? Helikar
Institution:1. School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USAORCID Iconhttps://orcid.org/0000-0003-4283-8365;2. Department of Biological Sciences, Northern Illinois University, DeKalb, IL, USAORCID Iconhttps://orcid.org/0000-0003-4580-7775;3. Department of Science, Valley City State University, Valley City, ND, USAORCID Iconhttps://orcid.org/0000-0002-4950-4299;4. Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USAORCID Iconhttps://orcid.org/0000-0003-3653-1906
Abstract:ABSTRACT

Model-based instruction offers numerous benefits to students, including increased content knowledge and critical thinking. This study explored the differences in the knowledge outcomes and reasoning processes employed by undergraduate students in an introductory biology lab as they constructed, revised, and simulated a computational model of a prokaryotic gene regulatory system. We analysed post-lesson conceptual models (n?=?335) and audio-recorded small group discussions (n?=?10) of students that either constructed and revised a computational model and then investigated a pre-constructed computational model or only investigated a pre-constructed computational model to determine the impact of constructing and revising a computational model. No significant differences were found between the mental models of students who constructed and revised a computational model and those who only simulated a pre-constructed computational model. However, this study demonstrated that constructing and revising a model before simulating it offered additional benefits to students by fostering deeper cognitive reasoning processes. Constructing and revising a model elicited more explanatory and evaluative reasoning and prompted students to discuss the underlying mechanisms of the biological system.
Keywords:Undergraduate  computational model  biology  student reasoning  cognitive reasoning
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