Learning While Working Podcast

Sprout Labs, Robin Petterd

Listen to the Learning While Working podcast to hear how learning and development is transforming. The episodes are interviews with leading thinkers in learning. Common themes on the podcast include trends in eLearning and digital learning, performance driven instructional and learning design and learning data. Each podcast is packed with ideas, tips and insights about how to make learning at work succeed. read less
EducationEducation

Episodes

Measuring success in L&D with Alaina Szlachta
Jan 24 2025
Measuring success in L&D with Alaina Szlachta
In this episode of the Learning While Working Podcast, Dr. Alaina Szlachta, founder of Design by Development Solution, explores measuring success in learning and development. She guides us in thinking like researchers to effectively gather data from stakeholders and align training solutions with business outcomes.Tune in as she highlights starting with simple, relevant data points and introduces 'Return on Expectations' to evaluate if training meets stakeholder goals. We'll also discuss the challenges of measuring soft skills, the pitfalls of satisfaction metrics, and the importance of understanding the core problems training aims to address.About  Alaina SzlachtaDr. Alaina Szlachta creates data-enablement systems for small businesses to show the outcomes and the impact of their learning programs. She is the founder and creator of Measurement Made Easy, a community of practice which uses microlearning, mentorship, and real case studies to create simpler solutions to common measurement and evaluation challenges. An academic turned entrepreneur, Alaina Szlachta, PhD, is the founder of By Design Development Solutions, a consulting firm specialising in data enablement. Drawing on her background as a researcher and public health educator, she partners with learning and operations teams to integrate measurement and evaluation systems into their daily practices, providing continuous feedback loops that enhance quality, efficiency, and profitability. She generously shares her expertise through writing and speaking engagements, and as the host of Measurement Made Easy, a free community of practice that guides practitioners in refining their impact measurement strategies.Key takeaways:Think like a researcher: Effective measurement starts with forming hypotheses and gathering relevant data. Approach your L&D projects with a research mindset for valuable insights.Focus on business Impacts: Align your learning solutions with business goals and measure the impact on those outcomes. Rather than fixating on satisfaction scores, emphasise whether the training achieves its intended goals.Start simple: Begin with a single, manageable data point to make the data analysis process approachable. Ask stakeholders about their expectations before and after the training to measure 'Return on Expectations.'Chapters:(00:00:00) Introduction.(00:05:56) Monitor one data point over time for insights.(00:08:01) Delegation clarifies priorities and reduces burnout.(00:13:18) Start small and utilise existing data creatively.(00:14:51) ‘Return on Expectations’: Measuring program investment outcomes.(00:20:17) Don't assume learning solves every performance problem.(00:21:43) Show value by aligning with business goals.(00:27:49) Methodology is essential for academic success, not engaging.(00:29:33) Use data to learn and improve strategies.Links from the podcast:Connect with Alaina Szlachta on LinkedInAlaina Szlachta’s WebsiteRead Alaina Szlachta book Measurement and Evaluation on a Shoestring
Transforming education through AI experiments with Dwayne Wood
Jan 3 2025
Transforming education through AI experiments with Dwayne Wood
In this episode of the Learning While Working Podcast, we are joined by Dwayne Wood, an associate professor at National University and an expert in instructional design for workplaces. As the landscape of AI, especially generative AI like ChatGPT, rapidly evolves in higher education, Dwayne shares his unique perspective on how this technology is reshaping learning experiences. From the ethical implications to the challenges of maintaining critical thinking and creativity in students, this episode unpacks the complexities and opportunities AI brings into the educational sphere.About Dwayne WoodDwayne Wood, Associate Professor at National University, is a renowned educator and instructional designer. His expertise lies in creating highly effective and engaging pedagogical methods, designing effective and engaging curricula, creating learning materials tailored to diverse audiences, and designing educational experiences for adult learners.With a distinguished background in military service, Dwayne brings a unique perspective to the world of education, blending discipline and innovation to create transformative learning experiences.Key takeaways:Applying learning to the workplace: Dwayne emphasises the importance of helping students transfer their academic knowledge to real-world work environments. This practical approach is crucial in preparing better citizens and a workforce ready for modern challenges.The impact of generative AI on higher education: Generative AI, such as ChatGPT, is revolutionising traditional assessments and learning models. While it can make tasks like writing research papers more efficient, there is concern over whether the cognitive effort required for genuine learning is being diminished. Dwayne discusses the balance universities need to find in leveraging AI tools responsibly.Experiential learning and AI literacy: In his own instructional design courses, Dr. Wood uses AI technologies as both instructional tools and as subjects of study. Students engage in project-based learning, reflecting on how AI affects their task completion and overall learning experience. This method fosters transparency and critical discussion about AI’s role in education and the workplace.Developing human skills: Despite AI's growing presence, certain skills remain uniquely human. Dwayne highlights critical thinking, creativity, and cultural awareness as irreplaceable by AI. He advocates for educational strategies that emphasise these human aspects, ensuring students are well-rounded and versatile thinkers.Chapters:(06:43) Education must enable workplace skill transfer.(07:46 Teaching AI tools for instructional design experience.(11:44) Technology confirms biases; critical thinking requires multiple perspectives.(15:55) Teaching responsible technology use remains challenging.(19:20) Reframing discussions as experiments for leadership development.(22:22) AI enhances learning, not replacing human thought.(24:53) Cultural literacy and creative thinking are essential.Links from the podcastConnect with Dwayne Wood on LinkedInNational University Website
The NOCOURSE Approach to Learning Design with Anamaria Dorgo
Oct 25 2024
The NOCOURSE Approach to Learning Design with Anamaria Dorgo
In this episode of the Learning While Working Podcast, Anamaria Dorgo Anamaria Dorgo, the founder of Handle With Brain, shares her innovative "No Course" approach to learning design. Learn how to create sustainable learning communities, encourage participant-led experiences, and leverage curiosity and adaptability in the learning process.About Anamaria DorgoAnamaria Dorgo is a Learning Experience Designer, Facilitator, and previously the Head of Community at Butter. With degrees in psychology and human resources, she has a lifelong commitment to learning, resulting in her creating engaging learning experiences for a global community. ​​She is the founder of Handle with Brain, an experience design consultancy.Key takeaways:Collaborative Learning: The "No Course" approach is based on peer-to-peer interaction and mutual support, encouraging participants to learn by doing and sharing real-time feedback. Ideal for projects involving new technologies, such as AI.Community Building: Start small with passionate peers, prioritise co-creation, and let the community grow organically. Shift from a service provider mindset to a collaborative, participant-led approach for sustainable development.Action-Based Learning: hands-on, context-specific projects help participants focus on their personal and professional growth. Bi-weekly sessions with peer coaching and practical workshops ensure continuous progress and learning.Chapters:(00:00) Introduction(05:08) Experimenting with peer coaching and the liberating structure called Troika consulting(12:40) Switching meetings to weekly, adding workshops and speakers.(15:04) How content is enhanced by peer sessions.(18:04) Auditing requires thorough individual analysis first.(21:45) Having a Slack channel for communication and cohort updates.(24:24) Collaborative learning fosters accountability and progress.(30:04) Communities start small and grow through shared value.(31:20) Collaborative learning is about inviting questions and finding answers.Links from the podcast:Connect with Anamaria Dorgo on LinkedInCheck out her website More about the courseLearn more about Liberating StructuresListen to Mapping Ties
Storytelling for learning with Rance Greene
Sep 27 2024
Storytelling for learning with Rance Greene
In this episode of the Learning While Working Podcast, Rance Green talks about the transformative power of storytelling in learning. He shares his "instructional story design" method, emphasising the need to understand the learning audience deeply and integrate conflict effectively into training narratives. Rance also provides practical advice on creating impactful training stories that act like flight simulators for the brain, driving both context and action.About Rance GreeneRance Greene is a story designer, author and speaker. Rance helps leaders connect with, inspire, guide and persuade their people through story-based messaging. He also equips talent development professionals to reach business outcomes through story-based training. A leader, consultant, coach and frequent speaker in live and virtual sessions on leadership storytelling, story-writing and instructional story design.Key takeaways:Understand your audience: Rance emphasises the importance of deeply understanding your learning audience to create relatable characters and scenarios. This ensures the training is tailored to their specific needs and resonates on a personal level.Incorporate conflict: One of the essential elements of a compelling story is conflict. It engages the audience and drives the narrative forward. Rance highlights that stories in training should end at the height of conflict to leave a lasting impression and a desire for resolution.Story design as a process: Rance’s "instructional story design" method combines analytical and creative steps, making storytelling accessible to everyone, even if you don’t see yourself as a natural storyteller. By focusing on behaviours and actions, training stories become both relatable and actionable.Chapters:(00:00) Introduction.(06:12) Scenarios compared to stories.(11:08) Training stories need relatable characters and conflict.(16:07) Encourage stakeholder responsibility through system-based thinking.(18:22) How will training benefit individuals personally?(25:21) Start a story, resolve conflict, and ask reflective questions.(28:39) Efficiently teach storytelling: conflict, action, brevity.Links from the podcast:Connect with Lance Greene on LinkedInRead ‘Instructional Story Design’Visit NeedAStory.com
Curiosity in the age of AI with Lisa Bodell
Sep 13 2024
Curiosity in the age of AI with Lisa Bodell
In this episode of the Learning While Working Podcast, Lisa Bodell, CEO of FutureThink and a global leader in simplification and innovation, explores the vital role of curiosity in our rapidly evolving AI landscape. Robin and Lisa discuss the power of asking "killer questions," fostering a culture of curiosity, and the irreplaceable human touch in creativity and problem-solving. Lisa also shares practical examples and insights on how diverse questioning can lead to innovative solutions in both work and personal life.About Lisa BodellLisa Bodell is an award-winning author and CEO of FutureThink. She has repeatedly been selected as one of the Top 50 Keynote Speakers in the World and recognized as one of the top 50 futurists. As a futurist and expert on the topic of innovation and simplicity, she serves as a global council member of the World Economic Forum, and has helped thousands of senior leaders ignite innovation at Bloomberg, Pfizer, Lockheed Martin, and more.Key takeaways:Curiosity as a Skill: it is not just a natural trait; it's a skill that can be taught, practised, and sharpened. Organisations must foster a culture where asking questions is encouraged and safe.The Power of Better Questions: in the age of AI, the quality of answers is directly tied to the quality of questions. Instead of defaulting to straightforward queries, try "question storming" to expand your thinking and uncover new possibilities.Thinking Time is Crucial: Lisa emphasised the importance of carving out time for deep, uninterrupted thinking. This isn't just beneficial for innovation at work but for personal growth too.Chapters:(00:00) Introduction(03:54) How brainstorming problems unlocks creative solutions.(08:28) Innovation involves uniqueness, not identical prompts and answers.(10:42) Use provocative questions to inspire disruptive innovation.(13:05) Lack of preparation and time stifles creativity.(16:32) Progress comes from creating multiple iterations.(22:05) How ‘The Artist's Way’ nurtures creativity through daily writing.(23:04) Monthly thinking day eases personal and business challenges.Links from the podcastConnect with Lisa Bodell on LinkedInVisit FutureThinkRead The Artist's Way
Leveraging chat platforms for learning with Sarah Hawk
Aug 23 2024
Leveraging chat platforms for learning with Sarah Hawk
In this episode of the Learning While Working Podcast, Sarah Hawk, co-CEO of Discourse, shares the transformative potential of chat platforms in facilitating learning and collaboration in the workplace. The conversation explores the concept of "fast lane" and "slow lane" chat environments, emphasising the significance of intentional information architecture and fostering a culture of open, transparent communication, and much more.About Sarah HawkSarah Hawk is an expert in online community building and manages the team that builds Discourse, the 100% open source discussion platform built for the next decade of the Internet. Prior to her current role, Hawk was Head of Community at community consultancy FeverBee.Key takeaways:Intentional Information Architecture: Hawk emphasises the importance of designing a well-structured information system. Ensuring people know where to post questions, how to find answers, and how to retain and document knowledge is crucial for long-term organisational growth.Mindful Cultural Building: Building a culture that encourages open communication, prolific question-asking, and transparent storytelling enriches the learning experience. It's about taking people on your journey, not just arriving at the destination.Fast Lane vs. Slow Lane in Chat Platforms: Understanding the distinct roles of real-time (fast lane) and more permanent, reflective discussions (slow lane) helps optimise chat platforms for both immediate collaboration and long-term knowledge retention.Chapters:(00:00) Introduction.(04:05) Communication in remote workplaces and its impact.(09:18) Empowerment through intentional and mindful discussion.(11:51) Archiving fast-paced conversations systematically.(14:41) Building community through setting guidelines.(18:52) The need for a flexible platform for knowledge sharing and safety.(20:55) Insights on information architecture, culture and learning.Links from the podcast:Connect with Sarah Hawk on LinkedInCheck out Discourse’s Website
Harnessing AI for skill management with Kayvon Touran
Jul 26 2024
Harnessing AI for skill management with Kayvon Touran
In this episode of the Learning While Working Podcast, Kayvon Touran shares the transformative potential of AI in skill management. Tune in as we unpack the pivotal role of context in making skill frameworks effective and the innovative ways AI can address the nuances of managing skills within organisations. Kayvon also reveals how AI can streamline data collection and enhance skill assessments through dynamic simulations.About Kayvon TouranKayvon Touran is the CEO and co-founder of Zal.ai. Kayvon has spent his entire career working in early stage technology startups, and most recently as a product leader in education technology where he created and implemented a next generation lifelong learning platform for higher education institutions.Key takeaways:Context is king: Generic skill definitions won’t cut it. Kayvon shares how customised, context-specific skills frameworks are essential for genuinely impactful training.AI as a powerful tool: Artificial intelligence can streamline the collection and analysis of skill data, helping to distil massive amounts of information into actionable insights.Practice and personalisation: Realistic, role-specific simulation-based training can elevate employee performance. Explore AI-driven, practice-based assessments to provide dynamic, tailored feedback and training opportunities.Chapters:(03:15) Data analysis for actionable insights at organisational level.(07:34) Passion for skills transformation in organisations.(09:50) Importance of generative AI in product development.(14:51) How to use AI to summarise skill definitions from the web.(18:21) Having personalised dynamic training for durable skills, performance-based.(22:23) Why is context crucial for effective skill training?Links from the podcastConnect with Kayvon Touran on LinkedInZal.ai’s Website
Balancing innovation and practicality: AI in workplace learning with Brant Gibbons
Jun 21 2024
Balancing innovation and practicality: AI in workplace learning with Brant Gibbons
In this episode of the Learning While Working Podcast, Brant Gibbons, President of Knowledge Anywhere, shares his expert insights on the current generation of AI tools, the balance between innovation and practicality, and the critical considerations for L&D professionals when integrating AI into their workflows. We explore the exciting potential of AI, the inherent risks, and the ongoing tension between cutting-edge technology and maintaining quality human interactions in learning experiences.About David GuralnickAs the President of Knowledge Anywhere, Brant Gibbons leads a team of passionate and innovative professionals who deliver technology-based learning solutions to help their clients achieve their goals. With over 20 years of experience in the learning industry, Brant has a proven track record of driving growth, building strategic partnerships, and enhancing customer satisfaction. Founded in 1998, Knowledge Anywhere, Inc. is an award-winning company that has emerged as a leader in knowledge transfer through eLearning technology.Key takeaways:Think Big, Start Small: Embrace AI as the future but proceed with caution. Analyse its impact on your workflow and ensure it drives both performance and cost-efficiency without compromising user experience.Stay Data-Driven: Don’t lose focus on analytical approaches. While generative AI can be helpful, foundational data analytics are crucial for making informed, impactful decisions.Balance Innovation with Quality: AI can make content creation faster and easier, but it’s critical to maintain the human element in learning experiences to avoid alienating your audience.Chapters:(00:00) Introduction(05:55) Compliance-driven training lacks meaningful business impact(08:16) Using technology to supplement traditional instructional design(13:17) Future of learning: ongoing, personalised, interactive knowledge-seeking(14:34) Custom chatbots and generative learning(20:58) Embrace AI cautiously and align with audience needs Links from the podcastConnect with Brant on LinkedInKnowledge Anywhere’s Website
David Guralnick on creating meaningful learning experience with AI
Jun 7 2024
David Guralnick on creating meaningful learning experience with AI
In this episode of the Learning While Working Podcast, David Guralnick, the CEO of Kaleidoscope Learning and President of the International eLearning Association, shares the potential of AI-driven, learner-centric environments. He also unpacks the possibilities of AI as a personalised coach, and the challenges organisations face in adopting new technologies. Plus, hear David's valuable insights on moving beyond traditional constraints to dream big and scale back, ensuring that the ideal learning experience is always within reach.About David GuralnickDavid Guralnick is the current President and CEO of Kaleidoscope Learning. He is also the current president of the International E-Learning Association; founder and chair of The Learning Ideas Conference; Editor-in-Chief of the International Journal on Advanced Corporate Learning; Chair of the International E-Learning Awards; and an Adjunct Professor at Columbia University. He is the author of the book "How Organizations Can Make the Most of Online Learning”.Key takeaways:Meaningful Learning Defined: it's not just about content or information. Meaningful learning resonates emotionally and aligns with personal goals, whether in the workplace, school, or life in general.AI as a Coach: Imagine having an AI coach guiding you through complex scenarios, learning about your interests, and tailoring experiences specifically for you. David discusses the potential of AI to act as a mentor and facilitator, making learning not just efficient, but deeply engaging.The Future of Learning: David shares some strong visions for the future, advocating for a shift from traditional, constraint-bound methods to innovative, tech-enabled approaches that truly reimagine education.Chapters:(00:00) Introduction(05:38) Progressive learning techniques and leveraging technology for education(06:41) Reconsidering education in the age of AI(09:50) AI's potential and challenges in near future(14:28) Early AI work in education at Northwestern(19:03) Created specialised authoring tool for non-technical users(20:02) Online learning constrained by tool limitations and coding(25:10) Start big, think AI, and what the ideal experience looks like(26:34) Accepting tradeoffs can lead to greater satisfaction Links from the podcastConnect with David on LinkedInVisit Kaleidoscope Learning’s WebsiteRead David’s book ‘How Organizations Can Make the Most of Online Learning’
Moving to a performance focused mindset with Bob Mosher
May 24 2024
Moving to a performance focused mindset with Bob Mosher
In this episode of the Learning While Working Podcast, Bob Mosher shares the potential of performance support to enhance learning while working. We'll explore the concept of 'the Five Moments of Need' and how they revolutionise our approach to workplace training. Bob also sheds light on some crucial strategies like performing workflow analysis before developing training solutions, and redefining the roles of learners as performers and users.About Bob MosherBob Mosher is the Chief Learning Evangelist and Co-Founder of APPLY Synergies, a strategic consulting firm that specialises in helping learning organisations design, develop and measure effective learning and performance support strategies to meet the 5 Moments of Learning Need. Bob has been an active and influential leader in the learning and training industry for over 40 years and is renowned worldwide for his pioneering role in new approaches to learning.Key takeaways:Performance support is critical: Understanding that performance support isn't just about creating job aids or tools but developing a discipline that incorporates these tools into a learning ecosystem that supports work as it happens.Focus on the workflow: Start with a workflow analysis to understand the tasks and processes where performance support can be effectively integrated. This helps in designing learning that is not just informative but truly applicable.Apply over theory: Shift the focus from theoretical knowledge to real application. Learning should be anchored in real-life tasks and designed to support the actual application in the workplace, enhancing both learning and performance outcomes.Chapters:(00:00) Introduction(05:43) Portfolios as professional reflective documents are essential(07:06) Consumption vs performance – the key difference(11:18) Why workflow analysis is essential for designing effective solutions(16:17) Giving new leaders practical guidance for success(23:02) Evaluating learning outcomes and impacts with technologyLinks from the podcast:Connect with Bob Mosher on LinkedInAPPLY Synergies’ Website
Embracing immersive technologies with Danny Stefanic
May 10 2024
Embracing immersive technologies with Danny Stefanic
In this episode of the Learning While Working Podcast, Danny Stefanic is a pioneer in 3D technologies and is the founder of a number of  VR-related companies including LearnBrite. We'll be exploring the challenges and opportunities of using VR and AR in learning environments, how organisations can implement these technologies effectively, and the future of immersive learning experiences.About Danny StefanicDanny Stefanic has been working in the virtual reality industry for over 25 years and created the first web metaverse back in 2008. He is the founder of a number of VR-related companies including LearnBrite, MootUp and Hyperspace, and continues to be a pioneer in VR and AR in learning environments.Key takeaways:The practical applications of VR and AR in corporate learning: provide hands-free operation for on-the-job training and enhanced real-world simulations for skills like objection handling and customer service.Be aware of cross-device compatibility: develop experiences that operate across multiple platforms, and make sure you choose a platform that supports cross-device functionality.Future trends and considerations in immersive tech: there will be an evolution toward more user-friendly and integrated AR/VR technologies. There is also potential for mainstream adoption as hardware becomes more accessible and user-friendly. The best recommendation to get started is to use no-code platforms and existing skills for creating immersive learning experiences.Chapters:(00:00) Introduction(05:54) The Apple Vision Pro being a high-quality, heavy headset(07:51) Immersive experience enhances learning and comprehension(13:23) Challenges of deploying VR in organisations(16:44) New technology allows for widespread accessibility and usage(19:16) Transition to using spectacles as user interface(25:24) Tool for instructional designers with existing skillsLinks from the podcast:Connect with Dany on LinkedInVisit LearnBrite’s websiteCheck out Hyperspace
Developing AI literacy for L&D with Stella Lee
Mar 29 2024
Developing AI literacy for L&D with Stella Lee
In this episode of the Learning While Working Podcast, Stella Lee unpacks her comprehensive competency framework for AI, crafted especially for learning and development professionals. The conversation covers everything from the AI fundamentals to the crucial aspects of data fluency, and the ethical implications to know about. Stella's framework emphasises the need for a mindset that balances adaptability and critical analysis.About Stella LeeWith over 20 years of experience in the e-learning and edtech industry, Stella Lee is a director at Paradox Learning, a consulting firm that provides and evaluates innovative learning solutions across multiple devices, cultures, and platforms. Stella works with clients from various sectors, such as government, education, non-profit, and corporate, to help them achieve their learning and development goals with data-driven and technology-enabled approaches.Key takeaways:The AI Competency Framework: covering seven areas, it is designed to deepen our understanding of artificial intelligence and its implications in the learning and development sector. The concepts cover: data fluency, diverse use cases, critical thinking, ethics, AI in education, and the future of work.Cultivate a deeper understanding of AI's implications, which includes ethical considerations, and its potential impact on future work structures, which would allow L&D professionals to prepare and adapt accordingly.Having multiple mindsets towards AI, such as adaptability and openness, and the value of starting from one's current level of understanding to contribute to collective learning in AI. Be aware of individual responsibility in fostering an environment of ongoing education and critical engagement with emerging technologies. Chapters:(00:00) Introduction(04:16) Thinking ethically about AI and preparing for future(08:21) The AI competency framework: 7 areas of focus(10:30) Future collaboration with AI(16:34) Using AI to develop strategy and educational piece(20:24) Reflecting on work and considering broader implications(25:39) Embrace multiple mindsets and experiment(27:24) Health care innovation will influence other fields Links from the podcastConnect with Stella Lee on LinkedInVisit Stella’s WebsiteDownload the AI Literacy Competency Framework for Educators & L&D ProfessionalDownload the AI Adoption Framework for L&DRead ‘AI Literacy: Implications for L&D’
Engaging learning through play with Terry Pearce
Mar 15 2024
Engaging learning through play with Terry Pearce
In this episode of the Learning While Working Podcast, Terry Pearce, the founder of Unfold Play, joins the show for a discussion on engaging learning through play. Terry shares strategies for game-based learning and the six levers that make games effective for learning. He also gives examples of how putting learners at the centre of the learning experience can transform seemingly dry content into engaging and effective learning activities.About Terry PearceTerry Pearce founded Untold Play to bring together his twin passions of learning design and games. Terry leverages the power of games and gamification in learning, and he regularly weaves the principles of game-based learning into the learning experiences he creates. He has won awards, through the London NHS Modernisation Agency, Reed Learning and the Healthcare People Management Association, for the services I deliver to clients, including HSBC, Imperial College Hospital, Thames Water and Zurich.Key takeaways:Putting learners at the centre: Games engage learners by making them the protagonists, setting open challenges, letting them explore, embracing failure, offering meaningful choices, and nudging them towards desired behaviours. This shift places the focus on the learner and encourages active participation in the learning process.Debriefing for reflection: Terry stressed the significance of debriefing in learning experiences. The "What happened, So what, Now what" framework allows learners to process their experiences, make generalisations, and consider behavioural changes as they apply their learnings to real-world scenarios.Transform Deck: Terry introduced the Transform Deck of learning design cards, which is a valuable tool for creating engaging, learner-centred activities. The deck serves as a point of inspiration for turning content into interactive, experiential learning experiences, providing a spectrum of options beyond traditional games and gamification.Chapters:(00:00) Introduction(04:56) Games thrive on failure, meaningful choices and nudges(09:18) Embrace play and games for healthy benefits(11:08) Creating engaging learning experiences through interactive games(14:54) Virtual escape room featuring games-based learning(18:41) Dice game simulates cultural immersion and adaptation(22:15) Deck of cards for inspiring learner-focused activities(25:12) Align objectives, culture, and methods for learningLinks from the podcast:Connect with Terry on LinkedInVisit Terry’s WebsiteCheck out The Transform DeckRead more about The Six Levers
Transforming L&D teams with Gregg Eiler
Mar 1 2024
Transforming L&D teams with Gregg Eiler
In this episode of the Learning While Working Podcast, Gregg Eiler, Senior Manager for Learning and Development at Powin, unpacks how motivation, clarity, and leadership interact to boost employee performance. Gregg also dives into the art of coaching, sharing actionable insights from his own experiences that redefine how to build expertise within L&D teams. Find out why it’s about being more than just an instructional designer – it's about being a business problem solver with a curious mindset.About Gregg EilerGregg Eiler is the Senior Manager for Learning and Development at Powin, where he built the company’s L&D operations from the ground up. He is an experienced Instructional Designer and Performance Improvement Expert with over 15 years of expertise, collaborating with global industry leaders to create impactful learning solutions. Greg’s particular passion lies in optimising performance ecosystems, focusing on elements such as motivation, bandwidth expansion, deliberate practice, coaching, and feedback.Key takeaways:Embrace the problem-solver mindset: Learning and Development goes beyond training; it's about being a strategic problem solver who aligns with business objectives.The power of coaching: Gregg leverages coaching to unlock the potential of industry experts, building their capability to ask challenging questions and pivot their perspective.Curiosity as a capability: Encourage curiosity within your L&D teams – it's the driving force that fosters accountability and a sharp focus on solving core business problems.Chapters:(03:58) Accountability, progress, and curiosity in sports coaching.(07:40) Consider multiple factors before investing time.(13:00) Encouraging curiosity, coaching and using templates.(15:52) Question to envision future success and set expectations.(18:29) Advocates design thinking for a user-centred approach.(20:12) Prototyping and testing essential for effective solutions.(24:29) Improve business skills through coaching.(27:10) Respecting opinions and styles while offering feedback.Links from the podcast:Connect with Greg on LinkedInVisit Greg’s Website
Using AI for role plays with Andrea Laus
Feb 16 2024
Using AI for role plays with Andrea Laus
In this episode of the Learning While Working Podcast, Andrea Laus explores the importance of role plays for developing crucial human skills, the potential pitfalls in traditional role play designs, and the transformative impact of a digital approach to role plays guided by technology. Andrea als unpacks how AI can enhance role plays, improve the feedback process, and ultimately revolutionise the L&D landscape.About Andrea LausAndrea Laus has spent the last 20 years developing effective strategies for talent development. He is the CEO of SkillGym, which designs state-of-the-art digital role plays for rebalancing knowledge-based training approaches with actionable practice. He regularly shares his ideas about effective training methodologies and strategies through his blog, and speaks at several HR and L&D conferences around the world on these fascinating subjects. Key takeaways:The importance of role plays in learning experiences: Andrea shares how it's crucial for developing human skills such as communication, collaboration, and problem-solving. It also creates a safe environment for practising real-life scenariosOn the challenges and misconceptions about role plays: Learners often feel judged and uncomfortable during role plays. There is a common misconception too that soft skills are “soft” – in reality they require dedicated effort and practice. It helps to understand these barriers so you can create the best learning environment.The application of technology and AI: Andrea highlights that, when used thoughtfully, technology can have a very positive impact. AI can help generate dialogues and responses, standardised and effective feedback, and it can assist in tracking and analysing learner actions. However, it is vital to select the right technology for specific learning objectives.Chapters:(00:00) Introduction(04:05) Handling the feeling of judgement in role plays(07:06) Leveraging role plays for sense making in learning(12:15) Practice with digital standardised and accelerates improvement(17:50) Supervise generative AI for writing dialogues(23:39) Measure and improve with technology-driven feedback(26:37) Utilise strategies, trust the process, embrace technologyLinks from the podcastConnect with Andrea Laus on LinkedInCheck out SkillGymWatch the recording of the Upskilling Using Artificial Intelligence: AI Digital Role Play webinar
Computational thinking in the age of AI with Susan Stocker
Jan 26 2024
Computational thinking in the age of AI with Susan Stocker
In this episode of the Learning While Working Podcast, Susan Stocker uncovers the world of computational thinking and its relevance in the age of artificial intelligence. With the skills gap becoming a concern in the era of AI and data-driven decision making, Susan's research on computational thinking in the workplace is timely and informative. Listen, as we explore what computational thinking is, the importance of critical thinking, and how these skills can shape our approach to problem-solving in the age of AI.About Susan Stocker    Susan Stocker is a Digital Transformation L&D Consultant where she helps organisations quickly change and get ahead of the skills and capability curve. She is committed to hands-on learning that enables teams to accelerate their success and companies to retain their people. She is also a certified Lean Six Sigma Master Black Belt, Certified Product Owner, Certified Scrum Master, and Certified BADIR Citizen Analyst.Key takeaways:Computational Thinking and AI in the Workplace: Computational thinking is a key skill in the age of AI and data-driven decision-making, so reflect on how you can build the relationship between these skills.Reimagining Work and Learning with AI: it’s an exciting time to rethink work in strategic areas for impactful organisational change as we are incorporating AI in day-to-day work and collaborating with the business.The skills gap in computational thinking is a real concern. According to Susan's research, a significant percentage of people in the workplace lack critical and computational thinking skills. As professionals, we need to develop these skills to effectively work with AI and data.Chapters:(00:00) Introduction(04:46) The struggle with critical and computational thinking(10:01) Value drivers for AI transformation in business(11:33) Understanding AI's use cases and problem-solving approach(15:09) Moving beyond technical AI to include critical thinking and behavioural responses(20:29) Rethinking work Links from the podcastConnect with Susan Stocker on LinkedInVisit the Aryng WebsiteRead Boston Consulting report Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and QualityRead Ethan Mollich thoughts the Boston Consulting report Centaurs and Cyborgs on the Jagged Frontier
ChatGPT for learning designers with Eliza Cani
Jan 12 2024
ChatGPT for learning designers with Eliza Cani
In this episode of the Learning While Working Podcast, Eliza Cani, a learning designer at LearnWorlds, explores the topic of using ChatGPT for learning designers. Eliza shares valuable insights on how AI can be integrated into course design, the importance of prompting skills, and the future trends that can revolutionise the fieldAbout  Eliza CaniEliza Cani is an eLearning Designer at LearnWorlds, and an experienced public speaker with a background in IT. She started her career at LearnWorlds as a member of the support team where she demonstrated an in-depth knowledge of the platform and the ability to solve customer issues fast and efficiently. Over the years, Eliza has helped hundreds of trainers and course creators create engaging learning materials and deliver them effectively.Key takeaways:Prompt engineering and engaging with ChatGPT: there is a need for precise and specific prompts, e.g. specifying course duration, target audience, tone of voice, key takeaways, etc. Consider also the audience needs and preferences in prompts, as well as regularly reflecting on prompts over time to improve outcomes.Future trends in course design: expect more integrations of AI with platforms, including learning management systems and learning content systems. There will be less use of conversational interfaces, such as ChatGPT, and conversational AI will become more embedded in tools and platforms, to make AI more accessible to all users.Overall advice for Learning Designers working with AI: don’t be afraid to use AI tools. Start with simple tasks and gradually explore more capabilities so you can understand how AI complements and enhances the work of learning designers.Chapters:(00:00) Introduction(02:22) ChatGPT as an efficient and creative tool for content summarisation(04:22) Simplifying learning theories for all(09:59) How to talk to AI tools by being advanced and precise(13:26) Having a customised approach based on audience and goals(15:14) How AI tools enhance learning design and why you need to understand their impact(18:15) Tools that facilitate course design and integration seamlessly(21:32) How AI won't replace designersLinks from the podcast Connect with Eliza Cani on LinkedInFind out more about LearnWorldsDo the free Master ChatGPT: Supercharge Your Course Design With AI course
AI-powered workshop design insights with Pedram Parasmand
Dec 8 2023
AI-powered workshop design insights with Pedram Parasmand
In this episode of the Learning While Working Podcast, Pedram Parasmand shares his insights on using AI tools for workshop designs and emphasises the importance of not relying on AI to do the creative work for you, but rather using it as a thought partner and brainstorming tool. He shares his experience with Chat GPT and Copy AI, highlighting how he trains these AI generative tools on his own methodology to support workshop design. He also explores the potential of using AI-powered transcription tools like Otter AI for analysis and evaluation.About  Pedram ParasmandPedram Parasmand is The Co-Founder and CEO of Skills Lab and has over 11 years experience working with executive teams to new entrants in the corporate, public, third and education sectors. Pedram has partnered with clients such as Accenture, Barclays Bank, Mind, Ministry of Justice, Red Bull, The European Union Commission, and The British Council. Previously, Pedram worked in Leadership Development at the education charity Teach First and started his career as a high school Science teacher.Key takeaways:Don't rely on AI to do the creative work for you: Pedram emphasises the importance of trusting your own human instincts and using AI as a support system or brainstorming tool. AI can enhance your workshop design process, but it can never replace your skills as a facilitator.Align AI with your specific challenges: When incorporating AI into your workshops, consider your pain points and processes. Explore how AI can assist you in addressing those challenges and improving your facilitation techniques. AI should complement your objectives, not replace them.Train AI in your methodology: Pedram shares his experience with training AI tools like Copy AI in his own workshop design methodology. By giving detailed prompts and instructions, you can teach AI to analyse transcripts, identify pains and gains, and generate audience-friendly content.Chapters:(00:00) Introduction(01:53) AI aids in designing workshops for newbies(05:46) Using tools like Otter AI that summarise, analyse, and evaluate conversations(07:01) How evaluation is flexible with various data points(12:57) Generate ideas for workshop objectives and refine later(16:44) Workshop structured like a story for growth(19:22) Finding ways to removes manual tasksLinks from the podcast Connect with Pedram on LinkedInVisit the Skills Lab’s WebsiteCheck out Copy AICheck out Otter AI
What is wrong with digital learning with Marco de Rossi
Nov 24 2023
What is wrong with digital learning with Marco de Rossi
In this episode of the Learning While Working Podcast, Marco de Rossi discusses the current issues with digital learning in workplaces, such as the misalignment between how we naturally learn as lifelong learners and how organisations push out content-driven learning. Tune in as we delve into social learning, synchronous vs. asynchronous activities, and how Generative AI is proving to be a valuable tool for L&D experts.About  Marco de RossiMarco de Rossi is the CEO of WeSchool, a learning platform that helps teams launch effective training in a user-friendly environment no matter their technical skills.Key takeaways:The challenges in digital learning in workplaces: there is a misalignment between how people learn in workplaces and how they naturally learn as lifelong learners. Learning is often seen as a buzzword, but not integrated into daily behaviours, so there needs to be a shift where learning becomes the responsibility of every team, not just HR.The people-centric approach: learning should be woven into everyday tasks and the focus should be on building communities and fostering social learning.Balancing cost-effectiveness and effectiveness: on-demand, self-paced learning may be cheaper, but it is not always effective. Cohort-based models and synchronous structures are important for critical learning experiences, like onboarding. Think about how a mix of cost-effective and quality-focused solutions can coexist.The role of AI can be a valuable tool for supporting learning design skills. E.g. conversational generative AI makes it easier for everyone to design engaging  learning experiences.Chapters:(00:00) Introduction(01:50) What is wrong with digital learning?(03:21) Marco’s vision of what great digital learning looks like(06:27) Why self-paced learning is not always the best solution(08:19) Conversational generative AI(11:16) The importance of instructional design skills(15:13) Adaptive learning(18:00) AI make it easier for more people to access learning experiences(19:23) Overcoming the current problems of digital learningLinks from the podcast Connect with Marco de Rossi on LinkedInVisit WeSchool Learn more about WeShool by watching this videoRead Robin blog post on What would happen if digital learning were more expensive than face-to-face training?
Embracing AI for learning design with Rustica Lamb
Nov 10 2023
Embracing AI for learning design with Rustica Lamb
In this episode of the Learning While Working podcast Rustica Lamb and Robin explore how to leverage AI as a powerful tool to enhance your productivity and creativity, learn how to effectively prompt, and stay conscious of the ethical implications of AI in the learning and working sphere. She has recently run the Elab AI program, which aimed to introduce a series of AI tools to learning professionals. It tested and evaluated various AI tools and discovered their potential to save significant amounts of time for learning designers.About Rustica LambRustica Lamb is a hands-on learning professional who is passionate about experimenting with new technologies and exploring how they can transform learning.  She is the founder of Bloom Learning Technologies, an international award-winning learning technologies company that is bringing the cost of elearning way, way down. They help organisations create engaging learning experiences, whilst supporting the business and budget goals.Key takeaways:Learning Designers can save about 40-60 hours per month through AI tools. By using this saved time, L&D professionals can focus on improving quality and fostering creativity. It  is important to remember that AI does not replace the expertise and insights of learning designers, so there needs to be human involvement along the process.Embracing AI in workplace learning is crucial for staying relevant, and Rustica points out that it is similar to the transition from traditional to e-learning.There is a need for expert guidance and coaching when using AI, to ensure accurate and reliable results from AI systems and maximising their potential in learning design.Chapters:(00:00) The importance of spending time playing with the tools(01:19) What is the eLab.ai program?(02:23) Key takeaways and insights from eLab.ai(04:13) Why humans won’t be replaced by AI(06:41) Generating the ‘core skeleton’(11:25) Where creativity sits in the world of AI(15:25) The importance of coaching(18:23) Rustica’s greatest gem of wisdom about using AI tools for learning designLinks from the podcast Connect with Rustica on LinkedInVisit the Bloom Technologies websiteFind out more eLab.ai Read ‘Scary Smart’ by  Mo GawdatExplore FuturepediaListen to Moonshots & MindsetsListen to Augmented reality for learning with Rustica Lamb