Centering Human Intelligence in Higher Education's AI Era: Practitioner Perspectives on ACTUAL Intelligence
Summary
This article explores how higher education faculty and instructional support staff can center human intelligence—defined as ACTUAL intelligence (Agency, Connection, Trust, Uniqueness, Adaptability, and Lifelong Learning)—in the age of AI. It presents practitioner perspectives on ensuring that artificial intelligence enhances rather than replaces human judgment, relationships, and learning in educational settings. The piece examines the sweeping changes brought by large language models and argues for a human-centered approach to AI integration in academia.
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Key quotes
· 3 pulledAs artificial intelligence (AI) reshapes higher education, educators and technologists must rely on ACTUAL intelligence—agency, connection, trust, uniqueness, adaptability, and lifelong learning—to ensure AI enhances, rather than replaces, human judgment, relationships, and learning.
Higher education faculty and instructional support staff are facing sweeping changes in how teaching, learning, and assessment are approached.
The introduction of large language models (LLMs) to the general public has sparked a groundswell of discussion around artificial intelligence (AI) and its implications.
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