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Classroom as Genome: Using the Tools of Genomics and Bioinformatics to Illuminate Classroom Observation Data

Classroom observation protocols can provide an exceedingly rich form of data. However, this is a double-edged sword, as researchers often struggle to take full advantage of the detailed data outputs. In this essay, we introduce a new approach to the analysis of classroom observation data, termed “cl...

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Detalles Bibliográficos
Autores principales: Erdmann, Robert M., Stains, Marilyne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Cell Biology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757215/
https://www.ncbi.nlm.nih.gov/pubmed/30807253
http://dx.doi.org/10.1187/cbe.18-07-0116
Descripción
Sumario:Classroom observation protocols can provide an exceedingly rich form of data. However, this is a double-edged sword, as researchers often struggle to take full advantage of the detailed data outputs. In this essay, we introduce a new approach to the analysis of classroom observation data, termed “classroom as genome” (CAG). We illustrate how real-time classroom observation data and genomic data can be viewed as quite analogous, both conceptually and in terms of downstream analysis. We provide both abstract and concrete examples of how the tools of genomics and bioinformatics can be applied to classroom observation outputs. We also show how this philosophy of analysis allows for the layering of information from multiple observation protocols onto the same classroom data. The CAG approach enables biology education researchers to explore detailed patterns within observed classrooms in a highly scalable manner.