Embedded Assessment Pursuits: Identifying Important, Relevant, Accessible but Hidden Skills of Citizen Scientists

Monday, March 23, 2020
Resource Type:
Conference Proceedings | Reference Materials
Environment Type: 
Public Programs, Citizen Science Programs
General Public | Museum/ISE Professionals | Evaluators | Learning Researchers
General STEM
University of Maryland Center for Environmental Science, Cornell Lab of Ornithology, Karen Peterman Consulting Co., University of Nebraska Omaha, Two Roads Consulting

Embedded assessment (EA) is particularly well-suited for evaluating citizen science volunteers’ proficiency of science inquiry skills; however they remain uncommon in informal education. Using design-based research, we are examining processes to streamline EA development by building on existing data validation procedures within five citizen science projects. Here, we focus on the critical first step of supporting citizen science project leaders in identifying appropriate skills that are important, relevant, accessible, and potentially hiding in plain sight in their existing data. Our research reveals that the project leaders can bring broad but uncertain conceptualizations of volunteers’ skills relevant to their citizen science efforts. These leaders need time and support to refine expansive notions of skill into concrete and clearly defined specifics that can be assessed from their existing data. Our research shows that identifying appropriate skills for EA is a complex multi-step procedure that benefits from supporting oral and written tools. Understanding the processes for developing embedded assessment is valuable for education research in diverse venues. 

Publication Name: 
NARST 2020

Team Members

Veronica Del BiancoVeronica Del BiancoAuthor
Jenna LinhartJenna LinhartAuthor

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