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

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Can a chocolate factory and a power ring teach us about the future of AI on campus? Dr. Norma Jones introduces the “Wonka-Lantern Framework,” pairing boundless creativity with moral clarity to guide AI integration across teaching, learning, and administration.

Textbooks can cost more than tuition,AI‑powered OER wipes that cost out entirely. In this conversation, Dr. Sarah Harmon, Adjunct Professor of Spanish and Linguistics, OER / ZTC Coordinator at Cañada College, and Chair of the SMCCCD Academic Senate Standing Committee on Teaching and Learning (DTLC), lays out the five‑spoke ZTC Wheelthat drives course material costs to $0 without sacrificing rigor. She then shows how LibreTexts’ machine translation delivers 90 %‑accurate Spanish and French editions in minutes and shares simple Creative Commons tips that keep lawyers happy while inviting global remix. Along the way, Harmon connects Universal Design for Learning with higher retention and offers open‑pedagogy ideas that turn students into co‑authors.