Expanding OER with GenAI
Generative artificial intelligence can expand the reach of open educational resources, but educators and institutions need a clear framework for licensing, disclosure, and responsible use.
Teaching and Learning
Contributing Editor: Kim Arnold, Director, Teaching and Learning Program, EDUCAUSE.
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A Practical SAMR + AI Framework for Instructional Design
The SAMR + AI Matrix is a structured learning design tool that aligns the SAMR Model with Bloom's Taxonomy, mapping levels of technological use to cognitive demand to guide instructors in determining how artificial intelligence (AI) could impact student work. This matrix is operationalized through a five-step framework that helps instructors deliberately design for the presence of AI in learning experiences.
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Listening to Skepticism: What Faculty Concerns About Generative AI Reveal
Listening to faculty concerns about generative AI can help institutions respond with more clarity, precision, and trust.
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Building AI Initiatives with Bottom-Up Champions
Driven by a bottom-up partnership between the Faculty Center for Teaching and Learning and the Division of Digital Learning, the University of Central Florida established an evolving campus infrastructure of policies, training, and a national conference to guide the ethical and effective integration of generative AI into teaching and learning.
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From Prompt to Practice: A Framework for Transparent GenAI Use in Higher Education
As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level transparency framework can help education developers calibrate documentation and disclosure practices to support ethical responsibility and maintain student trust.
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The Penn Instructional Design Working Group: Professional Learning and Growth for ID Professionals
At the University of Pennsylvania, the Instructional Design Working Group is blending professional growth and peer connection to transform how instructional designers learn, lead, and support one another. Its success offers a practical model that other higher education institutions can adapt to strengthen their own instructional design communities.
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The Role of Faculty in the University of the Future
In the age of AI, the true future of higher education lies not in replacing faculty but in freeing them to do what only humans can—build meaningful relationships, cultivate wisdom, and guide students through the ethical and intellectual challenges machines cannot navigate.
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AI and Course Design: Machines Can Help, but Only Humans Can Teach
The promise of artificial intelligence in higher education isn't to replace human work but to create space for the human interaction students value most.
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The University, the Chatbot, and a Call for a New Mission for Higher Education
In the age of artificial intelligence, higher education institutions must move beyond simply transmitting knowledge and instead prioritize holistic human development, integrating mental health, social-emotional learning, and ethical reasoning into academic structures to prepare students for meaningful lives and responsible citizenship.
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AI-Powered Pedagogy: A Guide to Evidence-Based Teaching Tools
Accessible artificial intelligence (AI) tools can help educators streamline course development, integrate evidence-based teaching strategies, and optimize workflows for more efficient, individualized instruction.
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