#IDIODC Instructional Designers In Offices Drinking Coffee

Your smile sheet scores look great. That doesn’t mean anyone learned, and traditional ratings barely predict learning results (r = .09). Dr. Will Thalheimer joins IDIODC to challenge what learner surveys should actually measure.He draws on GROWLE research to expose two costly blind spots. Likert scales that produce fuzzy, meaningless averages. And organizations that lean on surveys alone to prove impact. Will makes the case for questions built on four pillars of training effectiveness: understanding, motivation to apply, remembering, and after-training support. He also shares how LTEM offers a smarter alternative to the Kirkpatrick-Katzell model, and how AI is starting to help with evaluation. The question isn’t whether learners liked it. It’s whether your evaluation helps you make better decisions.   Brought to you by the dominKnow | ONE Platform - develop, scale, and deliver learning that maximizes employee value.

AI can generate a polished course in an afternoon. That doesn't mean anyone learned, and invisible skill gaps are expensive to discover later. Margie Meacham joins IDIODC to challenge what "done" should mean for AI-generated learning content.She connects brain science with agentic AI to expose two costly blind spots. Content that hits every metric but builds zero capability. Workflows that compound risk by pushing unvetted content live. As L&D moves from operator to architect, the question isn't whether AI can produce it. It's whether you can prove it works and is safe to ship.Dive deeper into the topic with Margie and Chris on the Governing AI Learning Content at Scale: A Playbook for L&D Leaders webinar: https://hubs.ly/Q04ylSGC0___________Margie Meacham, known as “The Brain Lady,” is a learning scientist, AI strategist, and Founder of Learningtogo. She helps organizations apply neuroscience and AI to design learning that improves performance, builds capability, and supports people in the flow of work.Margie is the author of 𝘉𝘳𝘢𝘪𝘯 𝘔𝘢𝘵𝘵𝘦𝘳𝘴 and 𝘈𝘐 𝘪𝘯 𝘛𝘢𝘭𝘦𝘯𝘵 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵. She has developed AI-powered learning tools, including coaching and performance-support bots. She also teaches learning professionals how to build and govern AI-powered learning experiences that people can trust. Brought to you by the dominKnow | ONE Platform - develop, scale, and deliver learning that maximizes employee value.

Software development already lived through this. Teams trusted AI-generated code until reviews caught problems that should never have shipped. L&D is heading down the same road with AI-generated training, just a few years behind.dominKnow's Learning Systems Architect, Adam Reynolds, joins IDIODC to explain what this parallel means for governance, compliance risk, and content you can actually trust. What began as an unexpected watercooler conversation turned into something we felt our audience needed to hear before the mistakes get expensive.The discussed State of Learning Content Management 2026 research report can be found here: https://dominknow.com/lcms-report___________Adam Reynolds is a Learning Systems Architect at dominKnow. He is a 20-year e-learning veteran and a software architect who designs and builds systems and AI pipelines. He joined the field because learning is a systems problem, not a content-generation problem.Adam has been in the room since xAPI’s early days and has spent years on the unglamorous but fundamental side of learning systems: review, reuse, analytics, and what happens after the first draft. He has worked across many learning tech stacks and knows where they stress, break, and create liability. Brought to you by the dominKnow | ONE Platform - develop, scale, and deliver learning that maximizes employee value.

Frontline teams do not have spare hours for training. They have minutes between customers, tasks, and the next urgent request. Yet many training programs still ask them to step away from work to learn. JD Dillon joins IDIODC to explore a better approach. Learn how to shift from isolated courses to a frontline enablement system that supports people in the flow of work and helps teams perform with greater clarity, confidence, and consistency. ___________JD Dillon is an advisor, speaker, author, and technologist focused on frontline workforce enablement and performance. His career spans frontline operations, learning, product, and technology roles with Disney, AMC, Kaplan, and Axonify. JD is the author of The Frontline Enablement Playbook and The Modern Learning Ecosystem. He helps organizations build practical systems that improve workforce readiness, manager capability, and on-the-job execution. Brought to you by the dominKnow | ONE Platform - develop, scale, and deliver learning that maximizes employee value.

AI frameworks are everywhere, but few L&D teams get past the planning stage. Megan Torrance returns to IDIODC to show how her AI Implementation Canvas moves from a group activity to a working part of real projects, with outcomes leadership can actually see. Megan is also collecting responses for new research on learning technology adoption, building on the widely cited data she published last year. We'll talk about what that research showed, why it matters, and how you can contribute. _______________Megan Torrance is the CEO and founder of TorranceLearning. For over two decades, she has helped organizations connect learning strategy to design, data, and real business performance . She created LLAMA, an Agile approach built for instructional design work. She also founded the xAPI Learning Cohort, which has drawn over 850 learners worldwide. Her books include Agile for Instructional Designers, Data & Analytics for Instructional Designers, and Making Sense of xAPI. Her latest book, The AI Implementation Guide for L&D, launched in June 2026. It introduces the AI Implementation Canvas, a practical tool for planning AI projects with clarity and confidence . Megan is also a Facilitator with eCornell's Women's Executive Leadership program. Brought to you by the dominKnow | ONE Platform - develop, scale, and deliver learning that maximizes employee value.