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Fifty percent of faculty feel overwhelmed by new tech, yet student AI use is soaring. In this episode, Dr. Norma Jones talks with Professor Chesa Caparas, media-literacy scholar and Fulbright researcher, about a people-first path to AI adoption in higher education. Chesa shares how a two-question survey surfaces hidden anxieties, how faculty can adapt without burnout, and why over reliance on AI detectors can damage trust instead of protecting integrity.
Take-aways
• Ready-to-use survey that maps student comfort with AI
• Tactics that keep feedback human while trimming workload
• Red-flag signs your AI detector policy harms equity
• First steps to close global and local connectivity gaps
Chesa Caparas (she/they) is professor of English and Ethnic Studies at De Anza College in Cupertino, CA, where she teaches in the IMPACT AAPI Learning Community and leads professional development workshops on AI in education. She is also a member of CA Learning Lab’s AI Faculty Innovator in Residence Strategy Team and serves as a Fulbright Scholar Alumni Ambassador promoting international research and teaching opportunities to educators across the country. She has a BA and MA in Modern Literature from UC-Santa Cruz and is currently pursuing an MS in Information and Knowledge Strategy at Columbia University. Her writing has been published in The Journal of Information Ethics, The Journal of California English, ASCCC’s Rostrum, and the arts and literature journal ANMLY.