The Product Design for Learning Podcast

• Ep. 21 It's time for some real-talk on skills frameworks

  Keywordsskills frameworks, performance improvement, learning and development, EdTech, agile learning, AI in education, stakeholder engagement, data analytics, organizational culture, continuous improvementSummaryIn this conversation, Greg Arthur and Phil Lord-David delve into the complexities of skills frameworks within the learning and development (L&D) sector. They discuss the importance of starting with business outcomes rather than merely mapping skills to roles, the pitfalls of traditional frameworks, and the need for agility and iteration in skills development. Phil emphasizes the significance of understanding the real problems within organizations and the role of technology, particularly AI, in enhancing skills frameworks. The discussion also touches on the cultural context of skills, the separation of skills from performance, and practical steps for building effective skills frameworks.TakeawaysStarting with the right questions is crucial for success.Focus on business outcomes rather than just skills mapping.Agility and iteration are key in skills development.Understand the real problems employees face.Technology should enable insight, not just track completions.Skills frameworks should evolve over time.Engage with senior leadership to align on goals.AI can help make skills development more manageable.Don't let perfection hinder progress.Start small and build momentum.TitlesRethinking Skills FrameworksThe Agility of Learning and DevelopmentSound bites"Start where it hurts.""Tech is to enable insight.""Don't go into analysis paralysis."Chapters00:00 Introduction to Skills Frameworks02:38 The Right Questions for Skills Frameworks05:32 Rethinking Frameworks: Beyond Monstrous Spreadsheets08:37 The Cost of Delay in Skills Development11:13 Identifying Key Skills: Where to Start14:13 The Relationship Between Skills and Performance16:58 Cultural Issues vs. Skills Issues20:02 The Role of Technology in Skills Development22:49 Iterative Approaches to Skills Frameworks25:54 Engaging Stakeholders in Skills Development28:36 Conclusion: Building a Dynamic Skills Framework31:16 Rethinking Skill Gaps and Business Outcomes33:35 The Role of AI in Skills Frameworks37:11 Essential Skills for Building a Skills Framework39:48 Navigating Resistance and Building Resilience43:44 Technology's Role in Learning and Development49:21 The Impact of AI on Skills Frameworks54:45 Actionable Advice for Implementing Skills Frameworks

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• Ep 20. What *EXACTLY* is The Future of Learning?!

  Keywordsfuture of learning, learning and development, corporate learning, accessibility, inclusivity, data-driven learning, AI in education, generational perspectives, employee experience, decentralized learningSummaryIn this episode, Greg Arthur hosts a discussion with Jess, Toby, and David about the future of learning and development. They explore the uncertainty surrounding the future of learning, the importance of accessibility and inclusivity, and the need for corporate learning to evolve. The conversation delves into generational perspectives on learning, the significance of data-driven decision-making, and the impact of AI on learning and development. The speakers emphasize the importance of understanding the problems that learning aims to solve and the need for a decentralized approach to learning, where people help people. They conclude with a call to action for learning professionals to embrace change and leverage data effectively.TakeawaysThe future of learning is uncertain and difficult to predict.Learning will always exist, but the structure of L&D may change.Accessibility and inclusivity in learning are crucial for the future.Self-directed learning has proven to be powerful and effective.Corporate learning needs to fundamentally change to meet modern demands.Bad learning experiences should not be tolerated in organizations.AI can serve as a powerful tool for data management in learning.Learning should happen in the flow of work, not as a separate activity.Data is essential for understanding the effectiveness of learning initiatives.A decentralized approach to learning can enhance employee engagement and effectiveness.TitlesThe Uncertain Future of LearningAccessibility in Learning: A Vision for the FutureSound bites"The future of learning is uncertain.""Self-directed learning is powerful.""Data is the missing link in L&D."Chapters00:00 The Future of Learning: An Introduction01:17 Diverse Perspectives on Learning's Future05:23 Self-Directed Learning and Corporate L&D09:33 The Challenge of Bad Learning Experiences12:10 Generational Perspectives on Learning15:57 Bridging the Gap: Technology and Learning19:06 The Role of Employee Experience in Learning26:00 Starting the Transformation in Learning26:48 Mapping HR to Customer Experience28:32 The Importance of Genuine Outcomes29:50 The Future of Learning and Development31:27 Generational Shifts in Learning Expectations34:34 The Role of AI in Learning and Development38:07 Redefining Learning in the Workplace40:43 The Impact of AI on Content Creation45:07 The Challenge of Change in L&D49:06 Decentralizing Learning Experiences50:55 Transforming Online Facilitation53:52 The Role of Technology in Learning56:44 Data-Driven Learning and Development58:38 The Future of Learning and Data Management01:01:19 Understanding Learning Outcomes and Business Impact01:05:40 The Importance of Employee Experience01:07:55 Measuring Employee and Employer Value01:13:37 The Path Forward for Learning and Development

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• Ep. 19 The real-life red pill / blue pill of L&D

  Keywordslearning design, cognitive neuroscience, attention, focus, engagement, product design, learning revolution, digital detox, future of learning, organizational learningSummaryIn this episode, Greg Arthur interviews Lauren, the Learning Pirate, about the intersection of cognitive neuroscience and learning design. They discuss the outdated models in the learning industry, the importance of understanding how the brain works, and the need for a revolution in learning practices. Lauren emphasizes the significance of designing learning experiences that cater to individual differences and the role of attention and focus in effective learning. They also explore the impact of technology on learning, the necessity of digital detox, and the future of learning and development in organizations.TakeawaysThe brain is the primary client in learning design.Outdated models in the learning industry hinder progress.Understanding cognitive neuroscience can enhance learning design.Attention and focus are critical for effective learning.Designing for individual differences is essential in learning.Digital detox can improve focus and learning outcomes.Learning is a fundamental human process that needs attention.The future of learning requires a shift in understanding human behavior.Engagement metrics often do not reflect true learning outcomes.A collaborative approach is necessary for effective learning design.TitlesRevolutionizing Learning DesignThe Science Behind LearningSound bites"Learning is hard.""We are in feedback loops of shiny tools.""Can we learn how to learn better?"Chapters00:00 Introduction to Learning Design03:03 The Role of Cognitive Neuroscience in Learning05:59 Bridging the Gap: Translating Science into Practice09:06 Designing for Individual Differences in Learning12:00 Attention and Focus in Learning Design15:03 Evaluating E-Learning Experiences18:02 The Importance of Practical Application in Learning20:57 Reactions to New Learning Approaches24:08 The Need for a Learning Revolution30:41 Understanding Learning and ROI in Organizations33:47 The Impact of Technology on Learning Behavior36:18 Managing Attention in a Distracted World41:03 The Journey of Learning and Personal Growth44:41 Challenges in Learning and Development50:37 Starting Points for Effective Learning54:47 The Future of Learning and Development

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• Ep.18 ChatGPT is not SkyNet, L&D is not The T1000

  KeywordsAI, production, technology, human skills, learning design, tools, job security, generative AI, digital intelligence, critical thinking, AI, collaboration, creativity, future of work, human skills, technology, problem-solving, innovation, prompt engineering, decision-makingSummaryIn this conversation, Greg Arthur and Ross Stevenson explore the role of AI in production, emphasizing the importance of human skills and critical thinking in leveraging AI tools effectively. They discuss misconceptions about AI's impact on jobs, the necessity of a human-centric approach, and the challenges of navigating the growing landscape of AI tools. The conversation highlights the need for a balanced perspective on AI, recognizing it as a tool that should complement human capabilities rather than replace them. In this conversation, Ross and Greg explore the evolving role of AI in problem-solving and creativity, emphasizing the importance of human collaboration and critical thinking. They discuss how AI can serve as a tool to enhance decision-making and innovation, while also cautioning against over-reliance on technology. The dialogue highlights the need for individuals to maintain their skills and adapt to the changing landscape of work, as well as the potential future implications of AI on society.TakeawaysAI is not a new concept; it's an evolution of existing technology.Generative AI allows more people to become 'amateur builders'.Critical thinking should not be outsourced to AI tools.Human skills are essential for effectively using AI.Overreliance on AI can lead to de-skilling.AI tools should be seen as extensions of human capabilities.Not all tasks require AI; traditional tools can be effective.The hype around AI can lead to inflated expectations.Trial and error is crucial in implementing AI solutions.A human-first approach is necessary for successful AI integration. AI should be viewed as a collaborative partner, not a replacement.Human thinking is essential in guiding AI's capabilities.Experimenting with AI can lead to innovative solutions.Critical thinking and creativity remain vital in the age of AI.Prototyping should focus on feedback rather than perfection.AI tools can enhance decision-making but should not replace human judgment.Understanding the context is crucial for effective AI use.Investing in human skills is essential for future job security.Prompt engineering is about clear communication with AI tools.The future of work will require a balance between human skills and AI capabilities.TitlesAI in Production: A New EraThe Human Element in AI UtilizationSound bites"It's not just AI did it all.""You can innovate bad practices.""Common sense will prevail."Chapters00:00 Introduction to AI in Production03:27 The Importance of AI in Production06:36 Misconceptions About AI and Job Security11:12 The Role of Human Skills in AI Utilization16:08 Navigating the AI Landscape22:00 The Future of AI in Business23:18 The Early Days of AI and Its Context24:22 Understanding AI's Role in Project Management27:29 Human-Centric Approach to AI Utilization30:22 The Binary Nature of AI and Its Limitations32:03 Trial and Error in AI Integration34:50 AI as a Collaborative Partner39:39 The Future of AI in Design and Content Creation43:48 The Role of AI in Creative Industries46:07 Mindset and Human Skills in the Age of AI50:04 Prompt Engineering and Effective AI Interaction56:09 The Future of AI and Human Collaboration

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• Ep. 17 If failure was a cake, cut me a second slice!

  KeywordsLearning and Development, Startups, HR, Experiential Learning, Stakeholder Management, Problem Solving, Employee Training, Corporate Learning, Self-Awareness, Learning CultureSummaryIn this episode, Greg Arthur and Nick Bilotta discuss the unique challenges and opportunities of Learning and Development (L&D) in startup environments. They explore the importance of experiential learning, the role of HR in startups, and how to effectively manage stakeholders. The conversation emphasizes the need for L&D professionals to view themselves as problem solvers and to meet learners where they are. They also touch on the significance of intention and reflection in the learning process, and the value of practical tools like checklists and templates. The episode concludes with advice for those working in startups and the evolving nature of L&D.TakeawaysStartups require a unique approach to Learning and Development.Experiential learning is crucial in fast-paced environments.L&D professionals should view themselves as problem solvers.Intent and reflection are key components of effective learning.Checklists and templates can be more valuable than elaborate training programs.Understanding the business needs is essential for L&D success.Stakeholder management is critical in learning initiatives.Learning should be integrated into the daily workflow.The culture of a startup can foster open communication and collaboration.Failure is a valuable teacher in the startup landscape.TitlesNavigating Learning and Development in StartupsThe Startup Survival Guide for L&DSound bites"Learning is about survival in startups.""Managers are not a different species.""Failure is the best teacher."Chapters00:00 Introduction to Learning and Development in Startups03:01 The Unique Challenges of Startups05:57 Survival Mode: The Startup Mentality09:00 When to Introduce Learning and Development11:56 The Evolution of HR and Learning14:45 Experiential Learning in Startups17:51 Reframing Learning Requests20:49 Stakeholder Management in Learning and Development28:21 Navigating Stakeholder Dynamics29:59 The Importance of Audience-Centric Design31:58 The Value of Practical Tools in Learning35:57 Fostering Self-Awareness and Growth38:51 Rethinking Learning and Development Roles41:57 The Challenge of Adult Learning45:42 Intentional Learning and Reflection48:55 Understanding Business Needs in Learning51:53 Advice for Startups in Learning and Development

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