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Generative AI in Higher Education (BMC)

What is generative AI? What implications and uses does it have for teaching, learning, academic research and pubishing?

Research Applications and Considerations

These articles are provided as examples of the kinds of research questions, opportunities, and concerns being discussed in different academic disciplines, but they are no means exhaustive or authoritative!  

For conversations within a specific academic discipline, see its primary journals and professional associations. (The Areas of Study research guides and our Tri-Co librarians can help you identify them.) 

Scholarly Publishing

Overall, the scholarly publishing industry has taken the stance that AI tools cannot be authors and that AI-generated content within scholarly publications is accepted only under strictly controlled circumstances, if at all. At the same time, large publishers are adding generative AI to  tools designed to help readers discover, understand, and summarize scholarly content. Generative AI could democratize and disseminate scholarly research through translations into other languages and for non-experts, but only with appropriate checks and supervision.   

College Teaching and Learning

Popular coverage tends to emphasize the potential for generative AI to undermine academic integrity and higher education. Researchers and professional organizations generally take a more nuanced, critical approach. (See also the Teaching Strategies tab.)