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Integrating quantitative reasoning in biology education: Making the science more authentic and the learning more robust

By: Donovan, Sam S, Gross, Lou, Fleming-Davies, Arietta
Join us for an education workshop where you will get hands on experience using a variety of freely available scientific tools (particularly R and Netlogo) to explore biological problems. Our primary goal is to help participants adopt and adapt existing curriculum modules that address two of the core competencies outlined in the Vision and Change report (“Ability to use quantitative reasoning” and “Ability to use modeling and simulation”). The tools and modules we will present are appropriate for use in introductory biology and upper-division course and laboratory settings. One tool introduced will be the R package, a freely available statistics and modeling package available on multiple platforms that has become prevalent in many areas of biology. Attendees will work with examples of its use with naive students to enhance quantitative analysis of data. Topics will include data analysis / visualization, agent based modeling, and general strategies for engaging students quantitat show moreive reasoning.
Donovan, Sam S, Gross, Lou, Fleming-Davies, Arietta, (2015), "Integrating quantitative reasoning in biology education: Making the science more authentic and the learning more robust", BioQUEST / HHMI / CaseNet Summer Workshop 2015, : Claremont, CA, June, . Cited by:

About

Type Presentation
Book title BioQUEST / HHMI / CaseNet Summer Workshop 2015
Year 2015
Month June
Author Address University of Pittsburgh; University of Tennessee Knoxville; QUBES, Radford University
Location Claremont, CA