Stephanie M Gardner, Aakanksha Angra, Joseph A Harsh
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引用次数: 0
Abstract
Graphs are ubiquitous tools in science that allow one to explore data patterns, design studies, communicate findings, and make claims. This essay is a companion to the online, evidence-based interactive guide intended to help inform instructors' decision-making in how to teach graph reading, interpretation, construction, and evaluation within the discipline of biology. We provide a framework with a focus on six instructional practices that instructors can utilize when designing graphing activities: use data to engage students, teach graphing grounded in the discipline, practice explicit instruction, use real world "messy" data, utilize collaborative work, and emphasize reflection. Each component of this guide is supported by summaries of and links to articles that can inform graphing practices. The guide also contains an instructor checklist that summarizes key points with actionable steps that can guide instructors as they work towards refining and incorporating graphing into their classroom practice and emerging questions in which further empirical studies are warranted.
期刊介绍:
CBE—Life Sciences Education (LSE), a free, online quarterly journal, is published by the American Society for Cell Biology (ASCB). The journal was launched in spring 2002 as Cell Biology Education—A Journal of Life Science Education. The ASCB changed the name of the journal in spring 2006 to better reflect the breadth of its readership and the scope of its submissions.
LSE publishes peer-reviewed articles on life science education at the K–12, undergraduate, and graduate levels. The ASCB believes that learning in biology encompasses diverse fields, including math, chemistry, physics, engineering, computer science, and the interdisciplinary intersections of biology with these fields. Within biology, LSE focuses on how students are introduced to the study of life sciences, as well as approaches in cell biology, developmental biology, neuroscience, biochemistry, molecular biology, genetics, genomics, bioinformatics, and proteomics.