From Chaos to Consistency: A Human-Centered Framework for AI-supported Assessment at a Mission-Driven Liberal Arts College
Year: 2026
Type: article
Abstract: This practitioner inquiry reports on a pilot at a small Catholic liberal arts college that used generative artificial intelligence (GenAI)-supported tools to help faculty complete program-assessment documentation during a structured Education Day. Grounded in Catholic social teaching and human-centered AI principles, the pilot tested a framework organized around human judgment, ethical stewardship, and formative human-AI partnership. Survey results from the pilot cohort (N = 10; item-level valid responses varied) showed strong faculty endorsement, including unanimous agreement that the process deepened thinking about evidence of student learning and unanimous intent to use AI-supported tools in future cycles. Qualitative findings identified five themes: efficiency and cognitive scaffolding, human-in-the-loop validation, platform reliability and trust, data governance, and institutional support infrastructure. Findings suggest that mission-driven institutions can integrate AI into assessment responsibly when faculty formation, verification checkpoints, and governance structures precede broad implementation.
DOI: 10.61669/001c.172640
Authors: Holly Ravesloot, Amanda Copeland, Adam Pryor
Institution: Calumet College of Saint Joseph
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7222882881
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