{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Why Distance Learning?","title":"#91 Agentagogy: What Learning With AI Actually Requires - with Mark Deschaine","html":"","width":"100%","height":180,"duration":2275,"description":"In this episode of Why Distance Learning, Seth, Allyson, and Tami conclude their conversation with Dr. Mark Deschaine — Professor of Educational Leadership at the University of Mississippi — with a look at the practical frameworks for building and sustaining institutional knowledge in a period of rapid change. Deschaine traces the Five Cs of digital curation from its origins as a college-level literacy tool to its current life as an organizational knowledge management system, and closes by announcing agentagogy — a forthcoming framework for learning with agentic AI, grounded in the specific role of productive struggle.\nTogether, Seth, Allyson, Tami, and Mark explore the Five Cs — collect, categorize, critique, conceptualize, circulate — and how they've evolved from individual educator practice into a knowledge management container layered above continuous improvement cycles, allowing organizations to hold onto what they know across staff turnover and structural change. Mark revisits No Child Left Behind's standardization mandate as a case study in the gap between quantitative accountability and qualitative story-telling, and asks whether 30 million individualized stories can ever aggregate into policy — or whether the market is already answering that question by moving outside the system. He drops news that Andreessen Horowitz is building its own AI-driven university, framing it as the clearest signal yet that innovators have stopped waiting for traditional structures to catch up. The conversation closes with two connected ideas: that distance learning, from correspondence courses to TikTok, has always existed outside the formal system — and that agentagogy, the framework Mark is currently developing, asks what happens to learning when the agent is no longer the learner but the AI. His answer is specific: productive struggle is the mechanism learning runs on, and an AI that removes all friction may be training us to stop developing the capacity to do the hard...","thumbnail_url":"https://img.transistorcdn.com/2eKPm8ob1eS5Ju0DBuhPXRKuQv7Vx4cWT0c4uWSYbCQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MmFh/MmQyYTc4NzdkNGJh/MzIzZWU5MmI3MzRk/MjQwYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}