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Prompt Pattern Engineering for Test Question Mapping Using AI

Prompt pattern engineering for test question mapping graphic

Exploring how AI-powered prompt engineering can streamline curriculum mapping and assessment alignment. This study by faculty in the College of Pharmacy demonstrates how ChatGPT can reduce review time, improve consistency, and support accreditation efforts while maintaining faculty oversight.

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Examining the AI Scholarly Research Writing Landscape

Brandon Patterson and team presenting

Brandon Patterson’s project explores how AI-powered tools can support scholarly writing and research while addressing critical limitations in transparency and reproducibility. The study highlights top-performing tools, their role in academic workflows, and the importance of AI literacy for ethical integration.

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Harnessing AI to Streamline Operations and Strengthen Campus Collaboration

Harnessing AI to Streamline Operations and Strengthen Campus Collaboration

At the University of Utah, we are embracing artificial intelligence not as a distant future, but as a practical, everyday partner in improving how we work. Across campus, teams are finding ways to use AI to reduce administrative overhead, strengthen decision-making, and create more connected, responsive systems.

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Understanding the National Data Platform: A New Era in Collaborative Science

AI Community of Practice (ACP), a campus-wide group dedicated to fostering collaboration, knowledge sharing, and discussion around the use of artificial intelligence.

Jess Tate of the SCI Institute shares about the National Data Platform (NDP), an NSF-funded collaboration designed to transform how researchers access, share, and analyze data. By connecting data sources, tools, and compute resources in a federated ecosystem, NDP makes data more findable, accessible, interoperable, and reproducible (FAIR)—advancing collaborative, scalable, and trustworthy science.

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Last Updated: 11/13/25