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Are biologists getting the mathematical training they need in college?
Author(s) -
Marshall Jill A.,
Durán Pablo
Publication year - 2018
Publication title -
biochemistry and molecular biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 39
eISSN - 1539-3429
pISSN - 1470-8175
DOI - 10.1002/bmb.21178
Subject(s) - descriptive statistics , mathematics education , sample (material) , stakeholder , scale (ratio) , medical education , computer science , mathematics , statistics , management science , medicine , engineering , public relations , chemistry , political science , physics , chromatography , quantum mechanics
Several major organizations have recommended revisions to mathematics requirements for biology majors. To determine whether these changes would benefit future biologists, we investigated mathematics use in research biology. We surveyed prominent journals in high and low math‐use areas for articles referencing the use of quantitative methods. In addition, we conducted a large‐scale survey of research biologists within these fields about their use of, and training in, mathematics and statistics. We then performed follow‐up interviews with a purposeful sample of respondents. Our results indicate that biologists need a base in descriptive and inferential statistics and mathematical modeling, including some concepts from calculus, focused on conceptual understanding rather than computational accuracy, followed by differentiated programs of study in mathematics and statistics, depending on intended discipline within biology. Comparison of our findings with the recommended requirements from major stakeholder groups indicates some alignment but also some discrepancies. © 2018 International Union of Biochemistry and Molecular Biology, 46(6):612–618, 2018.