Literature DB >> 26269460

Using Active Learning to Teach Concepts and Methods in Quantitative Biology.

Lindsay D Waldrop1, Stephen C Adolph2, Cecilia G Diniz Behn3, Emily Braley4, Joshua A Drew5, Robert J Full6, Louis J Gross7, John A Jungck8, Brynja Kohler9, Jennifer C Prairie10, Blerta Shtylla11, Laura A Miller12.   

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.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Mesh:

Year:  2015        PMID: 26269460     DOI: 10.1093/icb/icv097

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  4 in total

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Authors:  Miranda M Chen; S M Scott; Jessica D Stevens
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Authors:  Mentewab Ayalew; Derrick Hylton; Jeticia Sistrunk; James Melton; Kiandra Johnson; Eberhard Voit
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3.  A Practical Approach to Clinical Ethics Education for Undergraduate Medical Students: A Case Study From Guatemala.

Authors:  María Lorena Aguilera; Sergio Martínez Siekavizza; Francis Barchi
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Review 4.  Data science in cell imaging.

Authors:  Meghan K Driscoll; Assaf Zaritsky
Journal:  J Cell Sci       Date:  2021-04-01       Impact factor: 5.285

  4 in total

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