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Yeast for Mathematicians: A Ferment of Discovery and Model Competition to Describe Data. Bull Math Biol 2016; 79:356-382. [DOI: 10.1007/s11538-016-0236-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/30/2016] [Indexed: 10/20/2022]
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Lewis M, Powell JA. Modeling Zombie Outbreaks: A Problem-Based Approach to Improving Mathematics One Brain at a Time. ACTA ACUST UNITED AC 2016. [DOI: 10.1080/10511970.2016.1162236] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Waldrop LD, Adolph SC, Diniz Behn CG, Braley E, Drew JA, Full RJ, Gross LJ, Jungck JA, Kohler B, Prairie JC, Shtylla B, Miller LA. Using Active Learning to Teach Concepts and Methods in Quantitative Biology. Integr Comp Biol 2015; 55:933-48. [PMID: 26269460 DOI: 10.1093/icb/icv097] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
This article provides a summary of the ideas discussed at the 2015 Annual Meeting of the Society for Integrative and Comparative Biology society-wide symposium on Leading Students and Faculty to Quantitative Biology through Active Learning. It also includes a brief review of the recent advancements in incorporating active learning approaches into quantitative biology classrooms. We begin with an overview of recent literature that shows that active learning can improve students' outcomes in Science, Technology, Engineering and Math Education disciplines. We then discuss how this approach can be particularly useful when teaching topics in quantitative biology. Next, we describe some of the recent initiatives to develop hands-on activities in quantitative biology at both the graduate and the undergraduate levels. Throughout the article we provide resources for educators who wish to integrate active learning and technology into their classrooms.
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Affiliation(s)
- Lindsay D Waldrop
- *Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Stephen C Adolph
- Department of Biology, Harvey Mudd College, Claremont, CA 91711, USA
| | - Cecilia G Diniz Behn
- Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO 80401, USA
| | - Emily Braley
- Department of Mathematics, Duke University, Durham, NC 27708, USA
| | - Joshua A Drew
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA
| | - Robert J Full
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
| | - Louis J Gross
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA
| | - John A Jungck
- Departments of Biological Sciences and Mathematical Sciences, University of Delaware, Newark, DE 19716, USA
| | - Brynja Kohler
- Department of Mathematics and Statistics, Utah State University, Logan, UT 84322, USA
| | - Jennifer C Prairie
- Department of Environmental and Ocean Sciences, University of San Diego, San Diego, CA 92110, USA
| | - Blerta Shtylla
- Department of Mathematics, Pomona College, Claremont, CA 91711, USA
| | - Laura A Miller
- Departments of Biology and Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA
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