{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Harald’s Curious Corner","title":"Why Learning Science Matters More Than Ever","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/b0f262d5\"></iframe>","width":"100%","height":180,"duration":2877,"description":"Learning should not be measured by how much information we deliver. It should be measured by whether people can perform better in the moments that matter.\nIn this episode, I speak with Clark Quinn, Executive Director at Quinnovation, Co-Director at The Learning Development Accelerator, advisor to Elevator 9,  and author of Designing for Learning in the Real World. Clark brings decades of experience in learning science, instructional design, and performance-focused learning. His perspective is clear. Organisations need to move beyond content delivery and start designing experiences that create real behavior change.\nWe talk about why traditional training approaches often fail, why learning requires practice and feedback instead of just information, and how L&D teams can shift from order takers to performance architects. We explore the role of AI in learning, why technology should support human judgment rather than replace it, and why grounding learning programmes in science matters more than ever.\nClark leaves us with an important challenge: stop measuring whether people enjoyed learning and start measuring whether learning actually changed outcomes.\n\nSome curious takeaways:\nDesign learning around performance, not just content delivery\nMeasure outcomes, not learner satisfaction scores\nUse AI thoughtfully while keeping humans in the loop\n\nEpisode highlights:\n(00:00) Welcome to Harald’s Curious Corner\n(01:41) What is learning, and why is it so misunderstood?\n(03:32) Debunking myths: learning styles and the \"accidental instructional designer\"\n(04:45) L&D's identity shift: from facilitator to performance architect\n(05:54) Event model vs. content model of learning\n(08:35) Why liking a course doesn't mean it actually works\n(11:06) Are we measuring the wrong things, skill gap or competence gap?\n(12:56) The pharmacist vs. the doctor: two tales of L&D\n(14:12) Do the analysis first, don't prescribe before diagnosing\n(17:23) Entertaining learners vs. motivating learners...","thumbnail_url":"https://img.transistorcdn.com/FG-8Qa20DpR75migQzJyOrVTLX_iP1P41938xDc_r1c/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xODkz/ZDhjYjM5YTA1NDk0/MjM0ZDVkNzIzNzU2/YmUyNi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}