Inside Learning | Unlocking human potential

Inside Learning welcomes Eisner Award winning comics artist and San Francisco State University professor Nick Sousanis, whose Teachers College Columbia PhD dissertation was created entirely in comics and later published by Harvard University Press as The Unflattening. Nick and Aidan discuss drawing as a form of thinking and embodied learning, and Nick argues that AI-generated outputs can bypass the productive struggle where learning happens. He recounts a formative teaching moment when delayed textbooks revealed his students were learning most through making and play, which shaped his approach of "study and play." They explore doodling, movement and retention, productive failure and persistence, Rancière's The Ignorant Schoolmaster and self-directed learning, and how constraints can increase creativity through activities, copying and tracing for analysis. Nick also describes his ongoing work to make comics accessible for blind and low-vision readers through panels, conferences and adapted formats. Find Nick and his work at https://spinweaveandcut.com All of Nick's books on Amazon.ie https://www.amazon.ie/s?k=Nick+Sousanis Inside Learning is brought to you by the Learnovate Centre in Trinity College Dublin. Find out more about Learnovate's research on the science of learning and the future of work at https://learnovatecentre.org 00:00 Learnovate Intro 00:13 Meet Nick Sousanis 02:03 Textbooks Never Arrived 04:37 Embodied Thinking 08:29 Doodling Boosts Learning 10:49 Struggle and Practice 12:24 Rancière Self Teaching 15:49 Constraints Set You Free 18:47 Process Over Talent 21:02 Completion Based Grading 25:44 Tracing and Copying 29:27 Accessible Comics Project 37:09 Where to Find Nick 40:55 Learnovate Outro Nick Sousanis Unflattening https://www.amazon.ie/s?k=Unflattening+Nick+Sousanis With Great Power Comes Great Pedagogy (eds. Susan Kirtley, Antero Garcia, Peter Carlson) https://www.amazon.ie/s?k=With+Great+Power+Comes+Great+Pedagogy Mentioned in this episode The Ignorant Schoolmaster by Jacques Rancière https://www.amazon.ie/s?k=The+Ignorant+Schoolmaster+Ranciere The Gift of Dyslexia by Ronald D. Davis https://www.amazon.ie/s?k=The+Gift+of+Dyslexia+Ronald+Davis Tinker Dabble Doodle Try by Srini Pillay https://www.amazon.ie/s?k=Tinker+Dabble+Doodle+Try+Srini+Pillay Productive Failure by Manu Kapur https://www.amazon.ie/s?k=Productive+Failure+Manu+Kapur Eunoia by Christian Bök https://www.amazon.ie/s?k=Eunoia+Christian+Bok 99 Ways to Tell a Story by Matt Madden https://www.amazon.ie/s?k=99+Ways+to+Tell+a+Story+Matt+Madden Understanding Comics by Scott McCloud https://www.amazon.ie/s?k=Understanding+Comics+Scott+McCloud Green Eggs and Ham by Dr. Seuss https://www.amazon.ie/s?k=Green+Eggs+and+Ham+Dr+Seuss Scratch (DVD, dir. Doug Pray) https://www.amazon.ie/s?k=Scratch+Doug+Pray+DVD

The World Economic Forum named cognitive flexibility a top workplace skill. Then we started outsourcing our thinking to AI — and losing it. Inside Learning welcomes Waqas Ahmed, author of The Polymath, to discuss why cognitive flexibility is a crucial workplace skill and how outsourcing thinking to AI can erode it. Ahmed defines cognitive flexibility as both the ability to shift between domains and a higher-order capacity to handle complex, ill-structured situations, emphasising versatility as sustained adaptability amid accelerating change. The conversation critiques modern siloed education and work cultures that push specialisation, contrasting them with more holistic, transdisciplinary approaches. Ahmed outlines his work with organisations to build two polymath competencies — versatility (a portfolio of skills and meta-learning to reduce resistance to change) and integration (breaking silo culture through interdisciplinary collaboration and interactional expertise). He argues current LLMs tend toward safe, convergent outputs and describes the Da Vinci AI project aimed at provoking divergent, human-led creativity. In this conversation, Waqas reveals: The two-tier definition of cognitive flexibility — and why Rand Spiro's "ill-structured domains" version matters most at work Why versatility beats agility: adapting once is easy, adapting consistently is the skill How pre-Renaissance thinkers were transdisciplinary by default — and how we built the silos Multidisciplinary vs interdisciplinary vs transdisciplinary — and why most "multidisciplinary teams" are still guarding their turf Why transformation projects fail: resistance to change is a legacy of specialisation The 1800s factory manager test — why meditation went from "doing nothing" to a productivity tool The two polymath competencies Waqas builds in organisations: versatility and integration What "interactional expertise" is — knowing enough to ask an expert a meaningful question Why today's LLMs converge on the statistical mean — and what the Da Vinci AI project is doing differently Why radical innovation comes from synthesising diverse perspectives Chapters: 00:00 Podcast Intro Learnovate 00:15 Why Cognitive Flexibility 02:01 Defining Flexibility and Versatility 05:06 Specialisation vs Polymath Mindset 06:40 From Renaissance to Transdisciplinary 10:11 Workplace Resistance and Side Projects 11:37 Culture Shift and Productivity Myths 16:38 AI Time and Polymath Skills 20:07 Integration Beats Silo Culture 23:43 Limits of LLMs and Divergent Thinking 26:15 Da Vinci AI and Human Creativity 28:07 Wrap Up Where to Find Waqas 29:04 Closing Credits Learnovate Find Waqas: The Polymath: Unlocking the Power of Human Versatility (Wiley) https://www.davinci-network.com https://www.linkedin.com/in/waqaspolymath  About Waqas Ahmed Waqas Ahmed is the author of The Polymath: Unlocking the Power of Human Versatility (Wiley) and founder of the DaVinci Network, a global movement dedicated to unlocking the many-sided potential of humans. A recognised authority on multidisciplinary thinking, his work spans art, neuroscience and international affairs. He works with organisations and their leadership teams to build the polymath competencies of versatility and integration. About Inside Learning Inside Learning dives into learning science and the future of work, featuring learning experts from around the world each month. Topics span AI, neurodiversity, creativity, unlearning, leadership, ethics, VR, blended learning, performance, and skills. The podcast is designed to make you think, question and learn. Hosted by author, consultant and Keynote Speaker on Innovation Aidan McCullen, Inside Learning is produced by Learnovate, the future-of-work and learning research centre based at Trinity College Dublin and funded by Enterprise Ireland and IDA Ireland. Subscribe to Inside Learning wherever you listen. 🌐 https://learnovatecentre.org 🎙️ https://learnovatecentre.org/insights/podcasts/ 🔗 https://www.linkedin.com/company/learnovate-centre

I isn't a tool. It's a new kind of employee. And that's exactly why it belongs to HR, not IT. Aidan welcomes Fiona Passantino, award-winning author of comic books for executives on AI and her new book AI-Powered Leader, to discuss why AI integration should be a human-led experience owned by HR rather than delegated to IT. Fiona argues AI is more like a new kind of employee than a classic tool, and failed adoption often comes from lack of training, governance, and leadership support rather than "resistance." She outlines HR's role in measuring an organisation's adoption curve, delivering baseline AI literacy (including EU AI Act requirements), supporting early adopters as a coaching centre of excellence, and bringing analog "hell no" employees over the line without creating a split organisation. The conversation covers phased L&D approaches by department and for desk-less workers, using AI earlier in workflows for bigger impact, and her five-step roadmap from "ostrich" to "eagle," emphasising joyful learning through comics and humour. In this conversation, Fiona reveals: Why AI behaves more like a new employee than a tool — and what that changes about who owns it The "kidneys of the organisation" metaphor for what HR actually does all day Why most AI roll-outs stall as "resistance" — and why that's a leadership failure, not a people problem How the EU AI Act already makes AI literacy and governance a legal requirement The two groups worth extra training: the 1% enthusiasts and the "hell no" analog holdouts Why you must never let your company split into "AI people" and "analog people" The five-stage bird roadmap — ostrich, sandpiper, pelican, sparrowhawk, eagle Why most teams use barely 10% of a tool like Copilot The "desk-less" training built for the 80% of workers who never log into a desktop Why the comics in her book are a deliberate strategy: "if you're laughing, you can't resist" Chapters: 00:00 Podcast Intro 00:15 Meet Fiona Passantino 01:03 Why HR Owns AI 04:16 Leadership And Change 07:05 AI Literacy And Governance 09:04 Early Adopters And Resistors 11:58 L&D Training Phases 16:58 Beyond Tools Mindset 19:36 Roadmap Ostrich To Eagle 21:50 Comics And Joyful AI 24:18 Where To Find Fiona 25:18 Closing Credits   Find Fiona: Book — AI-Powered Leader (available wherever books are sold) https://fionapassantino.com https://www.working-humans.com https://aihumanschool.com   About Inside Learning Inside Learning dives into learning science and the future of work, featuring learning experts from around the world each month. Topics span AI, neurodiversity, creativity, unlearning, leadership, ethics, VR, blended learning, performance, and skills. The podcast is designed to make you think, question and learn. Hosted by author, consultant and coach Aidan McCullen, Inside Learning is produced by Learnovate, the future-of-work and learning research centre based at Trinity College Dublin and funded by Enterprise Ireland and IDA Ireland.   Subscribe to Inside Learning wherever you listen. 🌐 https://learnovatecentre.org 🎙️ https://learnovatecentre.org/insights/podcasts/ 🔗 https://www.linkedin.com/company/learnovate-centre

"Decision-making is what you do with information. Judgment is what you do with your values when the information runs out." Rahim Hirji has spent 20 years inside learning technology — at HarperCollins, running one of the UK's first online tutoring businesses, co-founding EtonX out of Eton College, and leading Quizlet's growth across 60 countries. His new book, Super Skills: The Seven Human Skills for the Age of AI (Kogan Page, out 3 July 2026), was the most requested title at this year's London Book Fair and is endorsed by Harvard's Karim Lakhani. Most AI books start with the technology. This one starts with a boat. In this conversation, Rahim reveals: Why most people are "sleepwalking" into an AI-shaped life without realising it The boat that carried his family from India to East Africa — and why it frames the whole age of AI How five generations of skills stack up: survival, street, specialist, soft, and now super The difference between algorithmic drift and intentional design — and which one you're living in Why a manager started receiving 12-page AI documents nobody had actually read "Human at the start" (HATS) — the centaur/Iron Man approach that beats "human in the loop" The one super skill Rahim believes AI will never have Why losing busy work is good news, not a threat The seven super skills: curiosity, change readiness, big picture thinking, principled innovation, empathy, global adaptability, and the augmented mindset. Chapters: 00:00 Podcast Intro and Guest 01:16 Boat Story and Skills Ladder 04:27 AI Change Hope and Risks 07:53 Drift Versus Design 11:02 Augmented Mindset HATS 13:59 Judgment When Data Ends 15:27 Seven Super Skills Overview 17:54 Who the Book Is For 22:09 Website Extras and Wrap Up 23:08 Closing Credits   About the guest: Rahim Hirji is an edtech leader and author. His book Super Skills: The Seven Human Skills for the Age of AI (Kogan Page) publishes on 3 July 2026. Find the diagnostic, bonus chapters and extras at https://superskillsbook.com. About Inside Learning: Inside Learning dives into learning science and the future of work, featuring learning experts from around the world each month — covering AI, neurodiversity, creativity, unlearning, leadership, ethics, VR, blended learning, performance, skills and more. Designed to make you think, question and learn. Produced by Learnovate, the future-of-work and learning research centre at Trinity College Dublin, funded by Enterprise Ireland and IDA Ireland. About the host: Aidan McCullen is the 2025 Thinkers50 Innovation Award recipient, a keynote speaker on AI, disruption, innovation and change, host of The Innovation Show, and author of Undisruptable: A Mindset of Permanent Reinvention (Wiley). Learn more about Aidan at https://theinnovationshow.io/about-aidan-mccullen  Listen and follow: Website: https://learnovatecentre.org Podcast: https://learnovatecentre.org/insights/podcasts/ LinkedIn: https://www.linkedin.com/company/learnovate-centre YouTube: https://www.youtube.com/@learnovatecentre

In this episode of the Inside Learning Podcast from the Learnovate Centre, Aidan McCullen speaks with Barry Winkless, Chief Strategy Officer at Cpl, Head of the Future of Work Institute, and author of Future Work World: How Leaders Can Create Destinations for Talent that Excite, Entice, and Engage.   Barry argues that future-of-work conversations must begin with mindset. Before leaders redesign work, talent, teams or technology, they need a new language and a new way of seeing. He introduces three leadership roles from the book: the Destination Designer, the Societal Whisperer, and the Systems Architect.   The conversation explores the structure of Future Work World, including Barry’s four-part journey through mindset, “meta waves”, the “mixing desk” of 16 areas for work innovation, and the use of immersive storytelling to move people emotionally. Barry also shares how music, science fiction, and fictional near-future stories shaped the book’s distinctive style.   Aidan and Barry discuss the idea of “work type salads”, where organisations blend permanent employees, contractors, consultants, gig workers, temporary talent, and specialist networks to create strategic advantage. They also explore the concept of organisational “wisdom worlds”, using AI inference, immersive learning, and tacit knowledge capture to build deeper capability over time.   The episode closes with a reflection on the shift from mono careers to poly careers, where individuals increasingly become the hero of their own working lives and organisations become part of their journey rather than the whole journey.   Episode Timeline   00:00 Podcast intro and guest 01:10 Why this book now 01:58 Music and storytelling 04:47 Mindset comes first 11:25 Mixing desk equalizers 14:46 Meta waves and work type salad 18:39 Building a wisdom world 22:37 The new hero journey at work 27:06 Where to find Barry 27:57 Closing credits

In a world where technology is accelerating faster than ever, how do leaders make the right decisions—without losing sight of what makes us human? In this episode of Inside Learning, Aidan McCullen is joined by Kate O’Neill, tech humanist, author of What Matters Next, and advisor to organizations like Google, Netflix, and the United Nations. Kate shares a powerful framework for navigating uncertainty, making smarter decisions, and shaping a better future—while keeping human experience at the centre. You’ll discover: Why not making a decision is still a decision The critical difference between harms of action vs. inaction How to move from questions → insights → “bankable foresight” Why the future isn’t singular—but made up of multiple “futures” How leaders can align purpose, values, and strategy in a fast-changing world The emerging skill of “prompting” as a leadership capability Why AI should support human meaning—not replace it Kate also explores a crucial idea: We must not leave meaning-making to machines. This episode is essential listening for leaders, educators, and anyone trying to stay relevant—and human—in the age of AI. Inside Learning is brought to you by Learnovate, the global experts in the future of work and learning. Based at Trinity College Dublin and funded by Enterprise Ireland and IDA Ireland, Learnovate is a research centre with a mission to enhance the competitive advantage of the learning technology industry and help organisations maximise the impact of learning technology. Learnovate’s vision is to play a significant role in transforming the lives of learners in the workplace, schools, universities, and the home. We are proud to be part of the Technology Centre programme funded by Enterprise Ireland and IDA Ireland, enabling Irish companies and multinationals to collaborate on market-focused strategic R&D with research institutions. To find out more about Learnovate, visit the Learnovate Centre website. https://learnovatecentre.org/ Find Kate here:  https://www.koinsights.com/

Kathryn Jablokow. Dean of Manhattan University’s School of Engineering, former NSF deputy division director, and co-author of the NSF Artificial Intelligence Roadmap joins Aidan McCullen to explore design cognition: how people think while solving design problems.  They unpack why high-performance teams don’t just match skills to problems, but also match thinking styles to the type of challenge, plus how great facilitators make space for different contributors (including introverts who need time to reflect).  The conversation then turns to AI as a teammate: how to avoid “sycophant” answers, how to prompt AI to generate genuinely different perspectives, and what it could look like to train LLMs to emulate cognitive diversity for better decisions and more creative outcomes.   Find Kathryn's papers: https://www.forbes.com/sites/marybethgasman/2025/12/30/what-ai-cant-replace-and-why-that-matters/ https://www.techradar.com/pro/how-applying-cognitive-diversity-to-llms-could-transform-the-user-experience

In this episode of The Inside Learning Podcast, hosted by the Learnovate Centre, Aidan McCullen speaks with world-renowned AI researcher and Creative Machines author Maya Ackerman about the rise of generative AI and its impact on human creativity.   The conversation explores the hidden history of AI-generated creativity, from early computational creativity pioneers to modern large language models. Maya explains how scientists define creativity — novelty, value, and surprise — and how machines are beginning to operate inside that same creative space.   The episode also examines the capabilities and limitations of generative AI, the ethical challenges of treating AI as an “all-knowing oracle,” and why the future of creativity lies in human-AI collaboration rather than replacement.   Listeners will gain practical insight into how tools like Lyric Studio enhance human expression, how AI reflects human culture and bias, and what leaders must understand as creative AI reshapes work, learning, and society. 00:00 Introduction to the Inside Learning Podcast 00:15 Meet Maya Ackerman: AI Researcher and Author 01:08 The Unknown History of AI-Generated Creativity 02:50 Defining Creativity: Human and Machine Perspectives 03:58 The Ethics and Risks of AI in Creativity 05:35 Collaborative Creativity: Humans and AI Working Together 10:23 The Evolution of AI: From Expert Systems to Neural Networks 16:36 AI's Reflection of Human Society 22:07 The Future of AI and Human Creativity 29:18 Conclusion and Where to Find More   Find Maya: https://maya-ackerman.com/  

In this episode of Inside Learning, brought to you by the Learnovate Centre, host Aidan McCullen is joined by Sean D'Arcy, Chief Solutions Officer at Kahoot!—Europe’s largest EdTech platform. They explore the post-pandemic challenges in education, including dwindling student attention and motivation, and how tools like Kahoot! are helping teachers reimagine engagement through gamification, interactivity, and now AI. Sean shares how Kahoot! supports both K-12 and higher education through AI-powered quiz creation, student-led learning, and real-time feedback. The conversation also dives into the role of AI in personalized education, how workplace learning is evolving with Gen Z, and how organizations can rebuild culture and performance post-layoffs. Key Takeaways: How AI is enhancing teacher productivity and learner engagement Shifts in learner psychology and classroom expectations Practical strategies for using Kahoot in classrooms and corporate training Insights into upskilling, microlearning, and future-ready skills The role of gamified learning in improving retention and morale post-layoffs Perfect for educators, L&D professionals, and anyone passionate about the future of learning. Find the articles mentioned here: https://kahoot.com/blog/2025/10/06/training-after-layoffs-3-strategies-to-rebuild-engagement-and-performance/

In this episode of The Inside Learning Podcast, brought to you by the Learnovate Centre, we explore the concept of a four-day workweek with experts Joe O'Connor and Jared Lindzon. They discuss the historical roots of the five-day workweek, the productivity and well-being benefits of a shorter workweek, and how AI could reshape our approach to work. Learn how both individuals and organizations can adopt this innovative work model to improve productivity, foster a better work-life balance, and retain talent. Tune in to find out why a four-day workweek isn't just possible, but necessary in today's evolving work environment. 00:00 Introduction to the Inside Learning Podcast 00:15 The Case for a Four-Day Work Week 01:07 Meet the Authors: Joe O'Connor and Jared Lindzon 01:35 Questioning the Five-Day Work Week 03:41 Technological Advancements and Productivity Gains 05:22 The Role of AI in Modern Work 07:28 Historical Context of Work and Human Skills 10:09 Overcoming Resistance to Change 12:07 Benefits of a Four-Day Work Week 18:37 Advocating for a Four-Day Work Week 22:19 Implementing a Four-Day Work Week in Organizations 24:13 Individual Strategies for Efficiency 27:03 Conclusion and Where to Find More Information   🔗 Links Mentioned in This Episode   Learnovate Centre: https://www.learnovatecentre.org Do More in Four (Book Website): https://www.domoreinfour.com Joe O’Connor – Work Time Revolution: https://www.worktimerevolution.com Jared Lindzon (Official Website): https://www.jaredlindzon.com   Inside Learning is brought to you by the Learnovate Centre at Trinity College Dublin, funded by Enterprise Ireland and IDA Ireland. Learnovate’s research explores the science of learning and the future of work.