Challenges and opportunities to build quantitative self-confidence in biologists

Author:

Cuddington Kim1ORCID,Abbott Karen C2,Adler Frederick R3,Aydeniz Mehmet4,Dale Rene5,Gross Louis J6ORCID,Hastings Alan7ORCID,Hobson Elizabeth A8ORCID,Karatayev Vadim A9,Killion Alexander10,Madamanchi Aasakiran11,Marraffini Michelle L12,McCombs Audrey L13ORCID,Samyono Widodo14,Shiu Shin-Han15ORCID,Watanabe Karen H16ORCID,White Easton R17ORCID

Affiliation:

1. Department of Biology, University of Waterloo , Waterloo, Ontario , Canada

2. Department of Biology at Case Western Reserve University , Cleveland, Ohio , United States

3. Department of Mathematics and School of Biological Sciences, University of Utah , Salt Lake City, Utah , United States

4. Department of Theory and Practice in Teacher Education, the University of Tennessee , Knoxville, Tennessee , United States

5. Donald Danforth Plant Science Center , Olivette, Missouri , United States

6. Departments of Ecology and Evolutionary Biology and of Mathematics, University of Tennessee , Knoxville, Tennessee , United States

7. Department of Environmental Science and Policy, University of California, Davis, California, and with the Santa Fe Institute , Santa Fe, New Mexico , United States

8. Department of Biological Sciences, University of Cincinnati , Cincinnati, Ohio , United States

9. Kansas Biological Survey & Center for Ecological Research, University of Kansas in Lawrence , Kansas in the United States

10. Department of Environment and Sustainability, University of Michigan , Ann Arbor, Michigan , United States

11. School of Information, University of Michigan , Ann Arbor, Michigan , United States

12. Marine Science Institute, University of California Santa Barbara , Santa Barbara, California , United States

13. Departments of Statistics and of Ecology and Evolutionary Biology at Iowa State University , Ames, Iowa , United States

14. Department of Mathematics at Jarvis Christian University , Hawkins, Texas , United States

15. Departments of Plant Biology and of Computational Mathematics, Science, and Engineering at Michigan State University , East Lansing, Michigan , United States

16. Department of Mathematical and Natural Sciences at Arizona State University , Glendale, Arizona , United States

17. Department of Biological Sciences, University of New Hampshire , Durham, New Hampshire , United States

Abstract

Abstract New graduate students in biology programs may lack the quantitative skills necessary for their research and professional careers. The acquisition of these skills may be impeded by teaching and mentoring experiences that decrease rather than increase students’ beliefs in their ability to learn and apply quantitative approaches. In this opinion piece, we argue that revising instructional experiences to ensure that both student confidence and quantitative skills are enhanced may improve both educational outcomes and professional success. A few studies suggest that explicitly addressing productive failure in an instructional setting and ensuring effective mentoring may be the most effective routes to simultaneously increasing both quantitative self-efficacy and quantitative skills. However, there is little work that specifically addresses graduate student needs, and more research is required to reach evidence-backed conclusions.

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences

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