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Abstract Detail

Education and Outreach

MONFILS, ANNA K [1], Phillips, Molly [2], Ellwood, Elizabeth [3], Linton, Debra [4], Donovan, Sam [5].

The Potential of Natural History Collections in Educating the 21stCentury Scientist and Citizen.

The biodiversity sciences have experienced a rapid mobilization of data that has increased capacity to investigate large-scale issues of critical importance (e.g., climate change, zoonotic disease, resource management, invasive species, and biodiversity loss). To prepare a data literate workforce that can harness the potential of biodiversity data, we need tools and strategies to engage students and help students to acquire data literacy skills. Data based on biological and paleontological specimens have unique properties that facilitate student engagement and can be used in authentic, iterative interdisciplinary investigations of complex and changing systems. In this presentation we will discuss the unique and engaging data emerging from natural history collections and how these data are being used to teach emerging data literacy competencies and core content and skills referenced in the Next Generation Science Standards and AAAS Vision and Change document. We will detail how the Biodiversity Literacy and Undergraduate Education: BLUE Data Network, iDigBio, and QUBES are working together to create inclusive resources, develop and disseminate curricular materials, and facilitate on-going opportunities to integrate collections-based data in the classroom. We will introduce new resources and a course based undergraduate research exercise for undergraduates that provide opportunities for students to directly engage with digital data resources, facilitate data discovery and exploration, and create inclusive and culturally relevent research experiences.

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Related Links:

1 - Central Michigan University, Biology, 2401 Biosciences, Mount Pleasant, MI, 48859, United States
2 - University of Florida
3 - 7028 Nestle Ave., Los Angeles, CA, 91335, United States
4 - Central Michigan University

digitized herbarium data
data science
Data in the Classroom

Presentation Type: Oral Paper
Session: EO1, Education and Outreach I
Location: Tucson C/Starr Pass
Date: Monday, July 29th, 2019
Time: 9:30 AM
Number: EO1007
Abstract ID:716
Candidate for Awards:None

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