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How can educators use artificial intelligence thoughtfully and effectively in their teaching? This new open-access collection from the Teaching for Learning Center, edited by Kevin Brown and Victoria (Tori) Mondelli, brings together practical strategies, classroom experiences, and critical reflections from educators across disciplines.
The eight featured articles explore backward course design, personalized feedback, ethical AI literacy, active learning, simulations, engineering education, healthcare education, and learner agency.
Whether you are beginning to explore generative AI or refining how you use it in your courses, this collection offers adaptable ideas and real-world examples to support effective, responsible, and student-centered teaching.