Using Active Learning to Teach Concepts and Methods in Quantitative Biology
Author(s) -
Lindsay Waldrop,
Stephen C. Adolph,
Cecilia Diniz Behn,
Emily Braley,
Joshua Adam Drew,
Robert J. Full,
Louis J. Gross,
John A. Jungck,
Brynja Kohler,
Jennifer C. Prairie,
Blerta Shtylla,
Laura Miller
Publication year - 2015
Publication title -
integrative and comparative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.328
H-Index - 123
eISSN - 1557-7023
pISSN - 1540-7063
DOI - 10.1093/icb/icv097
Subject(s) - active learning (machine learning) , mathematics education , biology , engineering ethics , computer science , mathematics , artificial intelligence , engineering
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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