The graph construction competency model for biology (GCCM-Bio): A framework for instruction and assessment of graph construction
Year: 2025
Type: article
Abstract: Biologists represent data in visual forms, such as graphs, to aid data analysis and communication. However, students struggle to construct effective graphs. Although some studies explore these difficulties, we lack a comprehensive framework of the knowledge and skills needed to construct graphs in biology. In the present article, we describe the development of the Graph Construction Competency Model for Biology (GCCM-Bio), a framework of the components and activities associated with graph construction. We identified four broad knowledge areas for graph construction in biology: data selection, data exploration, graph assembly, and graph reflection. Under each area, we identified activities undertaken when constructing graphs of biological data and refined the GCCM-Bio through focus groups with experts in biology and statistics education. We also ran a scoping literature review to verify that these activities were represented in the graphing literature. The GCCM-Bio could support instructors, curriculum developers, and researchers when designing instruction and assessment of biology graph construction.
Source: BioScience
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $5,088
Funder: National Science Foundation
OpenAlex ID: W4413114228
