This collection from the Humanities Research Center (HRC) Digital Technology in Education (DTE) working group arose from questions around how rapidly emerging generative AI tools are reshaping teaching and learning in K-12 and higher education.
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AI in Education: Teaching, Learning, and Thinking with Machines
Mary Strawderman, Jesse Senechal, Eric Ekholm, Jason Vest, Moe Greene, Dawn Johnson, Daniel Case, Oscar Keyes, Yaoying Xu, Robert Godwin-Jones, Kait Donahue, Kim Elmore, Haley Hendershot, Amy Corning, Paulina Guerrero, Samaher Aljudaibi, and Justin Thurston
This collection from the Humanities Research Center (HRC) Digital Technology in Education (DTE) working group arose from questions around how rapidly emerging generative AI tools are reshaping teaching and learning in K-12 and higher education. The contributions, loosely organized around ethics, policy, and practice, adopt a humanities lens to probe how generative AI and other emerging digital technologies impact human values, experiences, and social structures, surfacing their philosophical, ethical, cultural, and societal implications for schooling. From the perspectives of practitioners and interdisciplinary scholars, the pieces showcase various dimensions of AI's creative potential in education, while also questioning its limitations and broader impacts. Together, they position AI not as a neutral tool but as a sociotechnical force that must be aligned with human values.