Kimberly Casey
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor / Undergraduate Engagement Librarian
Also affiliated: Binghamton University (2026); Ames Research Center (2023); United States Geological Survey (2026); National Aeronautics and Space Administration (2023); University of Maryland, Baltimore County (2023)
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Kimberly Casey's research interests span multiple disciplines, including behavioral psychology, higher education, and planetary science. In the realm of behavioral science, Casey has investigated comparisons of extinction, counterconditioning, and novelty-facilitated extinction within ABA vs. ABC renewal designs, referencing classical conditioning and association learning. This work aligns with studies on behavioral and psychological topics. Casey also contributes to higher education research, focusing on information literacy tutorials for large enrollment courses through an iterative design-based approach, reflecting an interest in innovative teaching and learning methods and higher education research studies. Additionally, Casey has been involved in research related to planetary science, specifically focusing on calibration and validation for the Surface Biology and Geology (SBG) Mission Concept, which involves multi-sensor systems for imaging spectroscopy and thermal imagery. This work also includes efforts toward a coordinated NASA observing system for monitoring ice sheet-climate interactions.
Metrics
- h-index: 1
- Publications: 6
- Citations: 4
Positions
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Assistant Professor / Undergraduate Engagement Librarian 2022–presentUniversity of Arkansas Mullins Library ORCID
Selected Publications
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Information Literacy Tutorials for High Enrollment Courses: An Iterative Design-Based Approach (2026)
Collaboration Network
Top Collaborators
- Information Literacy Tutorials for High Enrollment Courses: An Iterative Design-Based Approach
Similar Researchers
Based on overlapping research topics