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Development and Assessment of Modules to Integrate Quantitative Skills in Introductory Biology Courses

Redesigning undergraduate biology courses to integrate quantitative reasoning and skill development is critical to prepare students for careers in modern medicine and scientific research. In this paper, we report on the development, implementation, and assessment of stand-alone modules that integrat...

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Published in:CBE life sciences education 2016-06, Vol.15 (2), p.ar14-12
Main Authors: Hoffman, Kathleen, Leupen, Sarah, Dowell, Kathy, Kephart, Kerrie, Leips, Jeff
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Language:English
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description Redesigning undergraduate biology courses to integrate quantitative reasoning and skill development is critical to prepare students for careers in modern medicine and scientific research. In this paper, we report on the development, implementation, and assessment of stand-alone modules that integrate quantitative reasoning into introductory biology courses. Modules are designed to improve skills in quantitative numeracy, interpreting data sets using visual tools, and making inferences about biological phenomena using mathematical/statistical models. We also examine demographic/background data that predict student improvement in these skills through exposure to these modules. We carried out pre/postassessment tests across four semesters and used student interviews in one semester to examine how students at different levels approached quantitative problems. We found that students improved in all skills in most semesters, although there was variation in the degree of improvement among skills from semester to semester. One demographic variable, transfer status, stood out as a major predictor of the degree to which students improved (transfer students achieved much lower gains every semester, despite the fact that pretest scores in each focus area were similar between transfer and nontransfer students). We propose that increased exposure to quantitative skill development in biology courses is effective at building competency in quantitative reasoning.
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subjects Attitude
Biology
Biology - education
College Science
Data Interpretation, Statistical
Demography
Educational Measurement - methods
Female
Genetics
Grounded Theory
Humans
Interviews
Learning
Learning Modules
Logistic Models
Male
Maryland (Baltimore)
Mathematical Models
Models, Theoretical
Pretests Posttests
Skill Development
Statistical Analysis
Students
Summative Evaluation
Teaching Methods
Thinking
Thinking Skills
Undergraduate Study
Worksheets
title Development and Assessment of Modules to Integrate Quantitative Skills in Introductory Biology Courses
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