Literature DB >> 32430563

Undergraduate Quantitative Biology Impact on Biology Preservice Teachers.

Robert Mayes1, Tammy Long2, Lacey Huffling3, Aaron Reedy4, Brad Williamson5.   

Abstract

Quantitative biology is a rapidly advancing field in the biological sciences, particularly given the rise of large datasets and computer processing capabilities that have continually expanded over the past 50 years. Thus, the question arises, How should K-12 biology teachers incorporate quantitative biology skills into their biology curriculum? The teaching of quantitative biology has not been readily integrated into undergraduate biology curricula that impact preservice teachers. This has potential to cascade effects downward into the quality of learning about quantitative biology that can be expected in K-12 contexts. In this paper, we present the perspectives of a mathematics educator, a science educator, and two biologists, and discuss how we have personally incorporated aspects of quantitative reasoning into our courses. We identify some common challenges relevant to expanding implementation of quantitative reasoning in undergraduate biology courses in order to serve the needs of preservice teachers-both in their disciplinary courses and methods courses. For example, time constraints, math pedagogical content knowledge, and personal views about the relevance of quantitative principles in biology teaching and learning can impact how and to what extent they become implemented in curricula. In addition, although national standards at the K-12 level do address quantitative reasoning, the emphasis and guidance provided are sparser than for other content standards. We predict that both K-12 standards and guidelines for undergraduate education will only increase in their emphasis on quantitative skills as computation, "big data," and statistical modeling are increasingly becoming requisite skills for biologists.

Entities:  

Keywords:  Biology; Preservice; Quantitative; Reasoning; Teachers; Undergraduate

Year:  2020        PMID: 32430563     DOI: 10.1007/s11538-020-00740-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  1 in total

1.  The Conceptualization of Quantitative Reasoning among Introductory Biology Faculty.

Authors:  Ann Cleveland; Asli Sezen-Barrie; Gili Marbach-Ad
Journal:  J Microbiol Biol Educ       Date:  2021-12-15
  1 in total

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