
Hosted by Zach Justus and Nik Janos · EN
Unfixed is a podcast for anyone interested in how generative AI is transforming higher education, from teachers and administrators to students and curious learners. Hosted by the faculty behind the blog Melts into Air, it offers candid reflections on a university system in flux, where even the mission of higher ed is up for debate.

In this episode of Unfixed, Nik and Zach are joined by our producer and special education scholar Jamie Gunderson to explore how AI is reshaping teacher education and K-12 classrooms. Drawing from her work preparing future teachers and her expertise in Universal Design for Learning (UDL), Jamie discusses the major gaps in AI training for educators, the challenges facing teachers already in the classroom, and the opportunities AI creates for accessibility and inclusion. The conversation examines what teacher preparation programs must rethink as AI becomes a permanent part of education. From critical AI literacy to equitable classroom design, this episode explores what it means to prepare teachers for an AI-shaped future.Jamie GundersonAniya Greene-Santos, Does AI Have a Bias Problem?Thoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

In this episode of Unfixed, Nik and Zach sit down with Inara Scott, a leading expert on AI strategy and innovation in higher education, to examine why the conversation around AI may be moving backward instead of forward. They explore faculty resistance, the limits of AI bans and opt-out policies, and the widespread concern that generative AI is eroding students’ critical thinking. Inara introduces her “AI Cognitive Pyramid” as a new framework for understanding where meaningful thinking actually happens in AI-integrated learning. The discussion reframes what it means to take AI seriously in teaching, learning, and institutional strategy.Inara Scott on LinkedInInara Scott at Oregon State UniversityThe AI Cognitive Pyramid: A Conceptual Framework for Generative AI Use, Critical Thinking, and Learning Design in Higher Education by Inara Scott :: SSRNNik Janos, AI Is Not Antithetical to Human Intelligence: What The Guardian gets wrongUnfixed Ep. 26 From Grief to ActionThoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

In this episode of Unfixed, we unpack what it actually means to run AI retrofit workshops—where faculty redesign assignments and learning outcomes for a world shaped by generative AI. Rather than hype or quick fixes, this work starts from disruption: courses no longer behave as intended, and instructors are left to figure out what still holds. We explore the emotional and intellectual reality faculty face, and why time, structure, and trust—not tools—are the real interventions. Retrofit emerges not as innovation, but as necessary maintenance for teaching that still has to function.Different Approaches to AI and Faculty LearningIntens(ive) ReflectionsProblem with AI LiteracyAI Is Not Antithetical to Human Intelligence: What The Guardian gets wrongBook usThoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

In this episode of Unfixed, we talk with Nicholas (Nick) Dirks, President and CEO of the New York Academy of Sciences and former Chancellor of UC Berkeley, about what AI really means for the future of higher education. Rather than treating generative AI as just another technological shift, Dirks helps us unpack where institutions may be misreading the moment—and what a serious response could look like. We explore the growing pressures on universities, from legitimacy and funding to enrollment and disruption, and what role they should play in a rapidly changing world. The conversation ultimately asks a bigger question: what is the university actually for in the decades ahead?Nicholas DirksNick @ The New York Academy of SciencesThe New York Academy of SciencesJustus and Janos, No, the Pre-AI Era Was Not That Great, IHEJanos, Builders: Designing the Post-AI UniversityJustus, Elites Are Distorting the AI DiscourseThoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

In this episode of Unfixed, we sit down with William Hardaway and Jason McGensy from CSU Fresno to explore how institutions are actually implementing AI in higher education. The conversation moves from the practical—faculty training, instructional design, and scaling AI initiatives—to the emotional, including the idea of “grief” as faculty confront rapid technological change. We also examine how this work connects to broader efforts around equity and institutional transformation. The episode closes by interrogating the limits of using therapeutic metaphors to understand AI adoption in academia.Jason on LinkedInFeedback literacyAI Institute video recapReport on our Academic Affairs Staff AI Community of PracticeThoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

Asynchronous online courses have become a cornerstone—and a cash engine—of modern higher education, but in the age of AI, the model is starting to crack. In this episode, we unpack how large-scale, low-touch online classes create fragile conditions for trust, especially as generative AI makes it easier than ever for students to outsource their thinking. We explore the growing tension between institutional incentives to scale enrollment and the reality of eroding learning quality, faculty burnout, and widespread uncertainty about what student work actually represents. Drawing on firsthand teaching experience, we examine how instructors are adapting and where those efforts fall short. The result is a stark question: can asynchronous education be rebuilt for the AI era, or are we sustaining a system we no longer fully believe in?Thoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

Generative AI is transforming how students write and how professors teach writing. In this episode of Unfixed, we’re joined by Stephanie Tran (Cypress College) and Tamara Tate (UC Irvine Digital Learning Lab) to explore what AI means for composition, academic writing, and digital literacy in higher education. Together, we examine the scale of the challenge facing writing instructors as AI models become increasingly proficient at generating polished text. What does “writing” mean across disciplines? And how can educators integrate AI into writing instruction without offloading the essential cognitive work that writing is meant to develop? Stephanie shares her work leading district-wide faculty development on equitable and human-centered AI practices. Tamara discusses her leadership at UC Irvine’s Digital Learning Lab and her experience developing AI-based writing tools designed to support — not replace — student skill building.Tamara TateUC Irvine Digital Learning LabPapyrusAI Resources, “Starting to use PapyrusAI or generative AI for writing?”Thoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.orgSubscribe to the Unfixed Newsletter—The AI Higher Ed Breakdown our bi-weekly newsletter unpacking the top news stories at the intersection of AI and higher education.

Higher education is facing two converging pressures: generative AI disrupting early-career labor markets and new federal “earnings test” accountability rules tying program viability to graduate income. In this episode of Unfixed, we examine how AI is thinning entry-level work, why mid-tier public universities may be especially exposed, and how federal accountability metrics could amplify wage suppression caused by automation. Drawing on reporting from Jeffrey Selingo, PBS NewsHour, The Chronicle of Higher Education, and U.S. Department of Education materials, we explore why GenAI and federal regulation are no longer separate stories. We close by asking what university leaders, faculty, and systems—especially in California—should do before signaling effects and enrollment shocks reshape the sector.Jeffrey Selingo, New York Magazine / Intelligencer, What Is College For in the Age of AI?PBS NewsHour, How AI may be robbing new college graduates of traditional entry-level jobsU.S. Department of Education, U.S. Department of Education Reaches Consensus on Historic New Accountability FrameworkBrian O’Leary, The Chronicle of Higher Education, Colleges Face a New Test on Their Grads’ Earnings. These Programs Fail It. (Note: Paywalled)California State University, Strategic Planning for the CSU (CSU Forward)Thoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.org

Ep. 22 Building AI Capacity in Public Higher Ed with James FrazeeIn this episode of Unfixed, we’re joined by Dr. James Frazee, Vice President for Information Technology and Chief Information Officer at San Diego State University, to unpack how large public universities are navigating AI strategy, governance, and equity at scale. As a nationally recognized leader in AI and data-informed decision-making, Frazee shares insights from spearheading SDSU’s AI and digital transformation survey—an effort that has since been adopted systemwide across the California State University system.James FrazeeSDSU Statement on Generative AI (GenAI) PrivacySDSU AI SurveyThoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.org

In this episode of Unfixed Newswire, Nik and Zach break down the most consequential—and occasionally absurd—AI news. The conversation spans OpenAI’s push toward ads and potential NSFW content; the relentless churn of new AI models like Gemini 3 and GPT-5.x; and why tools like Claude Code and Claude Cowork may signal a real shift toward AI agents as co-workers. They also interrogate the current AI investment bubble, unpack why enterprise tools like Google Gemini’s Canvas integration may matter more than headline-grabbing launches, and close with some deliberately irresponsible speculation about humanoid robots.OpenAI begins piloting advertisements AI Daily Brief, January 19, 2026, How to Make ChatGPT Ads Not SuckThe Verge,ChatGPT’s ‘adult mode’ is expected to debut in Q1 2026, https://www.theverge.com/news/842657/openai-chatgpt-adult-mode-debut-q1-2026The Crimson, 1994, Porn on the internet!Humai, GPT-5.2 vs Claude Opus 4.5 vs Gemini 3 Pro: The Complete ComparisonThe AI Daily Brief, January 13 2026, Claude Cowork is Claude Code for everyone else Wired, Anthropic’s Claude Cowork Is an AI Agent That Actually Works Instructure, Unleash the Power of AI in Canvas with Gemini LTI™Neo, your home robotMarques Bownlee (MKBHD) on the problem with NEO the robot Thoughts and suggestions? Email us at unfixed@meltsintoair.orgYou can find the full show notes and our writing at meltsintoair.org