Dr. Alaina Szlachta, founder of Design by Development Solutions, delves into the intricate world of measuring success in learning and development. She advocates for a researcher's mindset to collect relevant data and align training with business goals. Her concept of 'Return on Expectations' reveals how to assess if training meets stakeholder needs. Alaina also addresses the challenges of measuring soft skills and critiques satisfaction metrics, while emphasizing the importance of focusing on core issues that training seeks to improve.

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:(00:00:00) Introduction.(00:06:43) Education must enable workplace skill transfer.(00:07:46 Teaching AI tools for instructional design experience.(00:11:44) Technology confirms biases; critical thinking requires multiple perspectives.(00:15:55) Teaching responsible technology use remains challenging.(00:19:20) Reframing discussions as experiments for leadership development.(00:22:22) AI enhances learning, not replacing human thought.(00:24:53) Cultural literacy and creative thinking are essential.Links from the podcastConnect with Dwayne Wood on LinkedInNational University Website

Join Anamaria Dorgo, a Learning Experience Designer and founder of Handle with Brain, as she shares her transformative 'No Course' approach to learning design. Discover how to foster sustainable learning communities that prioritize peer collaboration and participant-led experiences. Anamaria discusses the power of hands-on, action-based learning and the benefits of iterative feedback. She emphasizes starting small for impactful community building and explores the shift from traditional methods to user-driven collaboration. A must-listen for innovative educators!

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:(00:00:00) Introduction.(00:06:12) Scenarios compared to stories.(00:11:08) Training stories need relatable characters and conflict.(00:16:07) Encourage stakeholder responsibility through system-based thinking.(00:18:22) How will training benefit individuals personally?(00:25:21) Start a story, resolve conflict, and ask reflective questions.(00:28:39) Efficiently teach storytelling: conflict, action, brevity.Links from the podcast:Connect with Lance Greene on LinkedInRead ‘Instructional Story Design’Visit NeedAStory.com

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:(00:00:00) Introduction(00:03:54) How brainstorming problems unlocks creative solutions.(00:08:28) Innovation involves uniqueness, not identical prompts and answers.(00:10:42) Use provocative questions to inspire disruptive innovation.(00:13:05) Lack of preparation and time stifles creativity.(00:16:32) Progress comes from creating multiple iterations.(00:22:05) How ‘The Artist's Way’ nurtures creativity through daily writing.(00:23:04) Monthly thinking day eases personal and business challenges.Links from the podcastConnect with Lisa Bodell on LinkedInVisit FutureThinkRead The Artist's Way

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:(00:00:00) Introduction.(00:04:05) Communication in remote workplaces and its impact.(00:09:18) Empowerment through intentional and mindful discussion.(00:11:51) Archiving fast-paced conversations systematically.(00:14:41) Building community through setting guidelines.(00:18:52) The need for a flexible platform for knowledge sharing and safety.(00:20:55) Insights on information architecture, culture and learning.Links from the podcast:Connect with Sarah Hawk on LinkedInCheck out Discourse’s Website

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:(00:00:00) Introduction(00:03:15) Data analysis for actionable insights at organisational level.(00:07:34) Passion for skills transformation in organisations.(00:09:50) Importance of generative AI in product development.(00:14:51) How to use AI to summarise skill definitions from the web.(00:18:21) Having personalised dynamic training for durable skills, performance-based.(00:22:23) Why is context crucial for effective skill training?Links from the podcastConnect with Kayvon Touran on LinkedInZal.ai’s Website

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 Brant GibbonsAs 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:(00:00:00) Introduction(00:05:55) Compliance-driven training lacks meaningful business impact(00:08:16) Using technology to supplement traditional instructional design(00:13:17) Future of learning: ongoing, personalised, interactive knowledge-seeking(00:14:34) Custom chatbots and generative learning(00:20:58) Embrace AI cautiously and align with audience needs Links from the podcastConnect with Brant on LinkedInKnowledge Anywhere’s Website

David Guralnick, CEO of Kaleidoscope Learning and President of the International eLearning Association, discusses the potential of AI-driven, learner-centric environments. He highlights AI as a personalized coach, navigating challenges in adopting new technologies. David's insights focus on breaking traditional constraints to create ideal learning experiences.

Renowned expert Bob Mosher discusses the importance of performance support in workplace training. Key topics include the Five Moments of Need, workflow analysis, and shifting from theory to application in learning. The podcast also explores challenges in portfolio development, new leader training, and the shift towards a performance-focused mindset in L&D.