Joel K Abraham, Elizabeth Suazo-Flores, Anupriya Karippadath, Alec Lamond, Susan Maruca, Eli Meir, Stephanie M Gardner
{"title":"The graph construction competency model for biology (GCCM-Bio): A framework for instruction and assessment of graph construction.","authors":"Joel K Abraham, Elizabeth Suazo-Flores, Anupriya Karippadath, Alec Lamond, Susan Maruca, Eli Meir, Stephanie M Gardner","doi":"10.1093/biosci/biaf060","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9003,"journal":{"name":"BioScience","volume":"75 8","pages":"649-658"},"PeriodicalIF":7.6000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352301/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioScience","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/biosci/biaf060","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
BioScience is a monthly journal that has been in publication since 1964. It provides readers with authoritative and current overviews of biological research. The journal is peer-reviewed and heavily cited, making it a reliable source for researchers, educators, and students. In addition to research articles, BioScience also covers topics such as biology education, public policy, history, and the fundamental principles of the biological sciences. This makes the content accessible to a wide range of readers. The journal includes professionally written feature articles that explore the latest advancements in biology. It also features discussions on professional issues, book reviews, news about the American Institute of Biological Sciences (AIBS), and columns on policy (Washington Watch) and education (Eye on Education).