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.
Dr. Lance Eaton is the Senior Associate Director of AI in Teaching and Learning at Northeastern University. His work engages with the possibility of digital tools for expanding teaching and learning communities while considering the various deep issues and questions that educational technologies open up for students, faculty, and higher ed as a whole. He has given talks, written about, and presented at conferences on artificial intelligence generative tools in education, academic piracy, open access, OER, open pedagogy, hybrid flexible learning, and digital service-learning. His musings, reflections, and ramblings on AI and Education can be found on his blog: https://aiedusimplified.substack.com/
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.
Generative artificial intelligence is pushing teaching and learning away from a model centered on producing answers and academic artifacts and toward one that places greater weight on process, judgment, reflection, and applied thinking. In conversations with campus leaders, three priorities emerged.
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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