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A First Attempt to Bring Computational Biology into Advanced High School Biology Classrooms

Overview of attention for article published in PLoS Computational Biology, October 2011
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Title
A First Attempt to Bring Computational Biology into Advanced High School Biology Classrooms
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002244
Pubmed ID
Authors

Suzanne Renick Gallagher, William Coon, Kristin Donley, Abby Scott, Debra S. Goldberg

Abstract

Computer science has become ubiquitous in many areas of biological research, yet most high school and even college students are unaware of this. As a result, many college biology majors graduate without adequate computational skills for contemporary fields of biology. The absence of a computational element in secondary school biology classrooms is of growing concern to the computational biology community and biology teachers who would like to acquaint their students with updated approaches in the discipline. We present a first attempt to correct this absence by introducing a computational biology element to teach genetic evolution into advanced biology classes in two local high schools. Our primary goal was to show students how computation is used in biology and why a basic understanding of computation is necessary for research in many fields of biology. This curriculum is intended to be taught by a computational biologist who has worked with a high school advanced biology teacher to adapt the unit for his/her classroom, but a motivated high school teacher comfortable with mathematics and computing may be able to teach this alone. In this paper, we present our curriculum, which takes into consideration the constraints of the required curriculum, and discuss our experiences teaching it. We describe the successes and challenges we encountered while bringing this unit to high school students, discuss how we addressed these challenges, and make suggestions for future versions of this curriculum.We believe that our curriculum can be a valuable seed for further development of computational activities aimed at high school biology students. Further, our experiences may be of value to others teaching computational biology at this level. Our curriculum can be obtained at http://ecsite.cs.colorado.edu/?page_id=149#biology or by contacting the authors.

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Geographical breakdown

Country Count As %
United States 10 7%
Colombia 2 1%
France 2 1%
Germany 1 <1%
Australia 1 <1%
Brazil 1 <1%
Malaysia 1 <1%
Canada 1 <1%
India 1 <1%
Other 2 1%
Unknown 124 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 21 14%
Student > Master 16 11%
Professor > Associate Professor 13 9%
Professor 10 7%
Other 39 27%
Unknown 18 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 35%
Social Sciences 20 14%
Biochemistry, Genetics and Molecular Biology 16 11%
Computer Science 13 9%
Nursing and Health Professions 4 3%
Other 23 16%
Unknown 19 13%