Helping students see bacteria in 3D: cellular models increase student learning about cell size and diffusion

Author:

Wollmuth Emily M.1ORCID,Correa Alberto1ORCID,Alvarado Obando Manuela1ORCID,Smith Michelle K.2,Buckley Daniel H.13ORCID,Hefferon Kathleen L.1,Angert Esther R.1ORCID

Affiliation:

1. Department of Microbiology, Cornell University, Ithaca, New York, USA

2. Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA

3. Cornell University, Soil & Crop Sciences Section of the School of Integrative Plant Science, Ithaca, New York, USA

Abstract

ABSTRACT In the microbial world, cell size and shape impact physiology, but students struggle to visualize spatial relationships between cells and macromolecules. In prokaryotic cells, cell size is limited by reliance on diffusion for nutrient uptake and the transport of nutrients within the cell. Cells must also meet a minimum size threshold to accommodate essential cellular components such as ribosomes and DNA. Using 3D printing allows for the creation of custom models that can be influential teaching tools in the biology classroom. This lesson uses 3D cell models to teach students enrolled in an introductory microbiology course about bacterial cell size and the biological importance of surface-area-to-volume ratio. During the lesson, students interact with 3D cell models and discuss a series of questions in small groups. Student learning was assessed using quantitative and qualitative student response data collected pre- and post-lesson. Student achievement of learning objectives, and their confidence in their knowledge of these concepts, improved post-lesson, and these gains were statistically significant. Our findings suggest that interacting with 3D-printed cell models improves student understanding about bacterial cell size and diffusion.

Publisher

American Society for Microbiology

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Education

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3