ABSTRACT

The integration of biology with mathematics and computer science mandates the training of students capable of comfortably navigating among these fields. We address this formidable pedagogical challenge with the creation of transdisciplinary modules that guide students toward solving realistic problems with methods from different disciplines. Knowledge is gradually integrated as the same topic is revisited in biology, mathematics, and computer science courses. We illustrate this process with a module on the homeostasis and dynamic regulation of red blood cell production, which was first implemented in an introductory biology course and will be revisited in the mathematics and computer science curricula.

ACKNOWLEDGEMENTS

The authors like to thank Drs. Shrijeeta Ganguly, Alisa Griffin, Gene McGinnis, Wendy Newstetter, Anna Powolny, Hong Qin, Elethia Tillman, Jerry Volcy and James Wade for suggesting means of fine-tuning the original module. The authors also thank Dr. Paul Camp for illustrating this method through his seminal work at Spelman College in developing modules to integrate biology and physics.

DISCLOSURE STATEMENT

No potentialconflict of interest was reported by the author(s).

Additional information

Funding

This work was supported in part by the following grants: NSF-MCB-1517588 (PI: Eberhard Voit), NSF-MCB-1615373 (PI: Diana Downs) (Division of Molecular and Cellular Biosciences), National Institutes of Health (NIH)-2P30ES019776-05 (PI: Carmen Marsit), NSF-IIS-1761945 (PI: Mentewab Ayalew) (Division of Information and Intelligent Systems).

Notes on contributors

Mentewab Ayalew

Mentewab Ayalew is an associate professor of biology at Spelman College. Her interests include the infusion of quantitative and computational thinking in the biology curriculum as well as faculty development in these areas. Her research focus is on understanding antibiotic resistance in plants. She earned a Ph.D. in plant cellular and molecular biology at Ecole Nationale Superieure d’Agronomie de Toulouse, France.

Derrick Hylton

Derrick Hylton is an associate professor of physics at Spelman College. He was the founding faculty member of the Physics Department at Spelman College. He earned a Ph.D. in physics at Yale University in the theory of atomic structure. Other research interests are in physics education and computational physics. At Spelman, he has worked on infusing a problem-based pedagogy in the physics curriculum.

Jeticia Sistrunk

Jeticia Sistrunk is an assistant professor in the Department of Biology at Spelman College. Her work addresses questions towards understanding the pathogenic mechanisms of microorganisms using microbial genomics and metagenomics approaches. Her interests include STEM outreach and developing innovative curriculum for integrating computing techniques in biology courses.

James Melton

James Melton is a course-based undergraduate research experiences (CURE) postdoctoral fellow in the Biology Department at Spelman College. His research has focused on diversity, molecular systematics, and genomics of green algae and Amoebozoa. He has also been involved with designing biology courses to improve student training in evolution and bioinformatics.

Kiandra Johnson

Kiandra Johnson is a senior instructor of mathematics at Spelman College. Her interests include infusion of active learning and technology in foundational mathematics course. Her research focus is primarily on hybrid courses and project-based learning’s impact on intermediate algebra and precalculus course achievement. She earned a master’s of science in applied and computational mathematics at Emory University in Atlanta, GA.

Eberhard Voit

Eberhard Voit is a chair professor and Georgia Research Alliance Eminent Scholar in biological systems. He studied at Cologne University in Cologne, Germany, where he received master’s degrees in biology and mathematics, as well as a Ph.D. in developmental and theoretical biology. His interests focus on research and education in complex biomedical systems and, in particular, computational analyses of metabolic pathway systems.

This article is part of the following collections:
Curated Collection: Modeling and Applications - Part 1

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 94.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.