In this conversation, Greg Arthur and Nick Shackleton Jones explore the critical distinctions between education and learning, emphasizing the need for experience design in learning environments. They discuss the influence of social media on learning and development, the challenges posed by traditional learning models, and the importance of context in creating effective learning experiences. The conversation highlights the disconnect between theory and practice in learning, the rituals that often hinder progress, and the necessity for organizations to embrace real learning experiences over superficial metrics. In this conversation, Greg Arthur and Nick explore the evolving landscape of Learning and Development (L&D), discussing the moral dilemmas faced by professionals in the field, the impact of AI on education, and the importance of performance support and experience design. They delve into the challenges of leadership, the disillusionment many feel within the industry, and the need for a shift towards more meaningful learning experiences. The discussion highlights the reactive nature of the industry, the role of compliance, and the future of learning management systems, ultimately emphasizing the necessity of swimming against the tide to create impactful learning environments.

Titles

Rethinking Education and Learning

The Influence of Social Media on Learning

Sound bites

"Why don't people change?"

"It's a moral dilemma in L&D."

"Do I want to step out of line?"

Chapters

00:00 Education vs. Learning: A Fundamental Distinction

05:47 Conformity and Resistance to Change in Learning

11:19 Experience Design: Lessons from Other Industries

17:13 Transformative Experiences: The Power of Small Interactions

27:57 The Disconnect in Job Advertisements

32:47 Adapting 5DI for Real-World Applications

39:38 The Metrics of Success in Learning

50:06 The Birth of Learning Design

55:33 Revolutionizing Training for New Consultants

01:00:37 The Role of Learning Management Systems (LMS) and Experience Platforms (LXP)

01:06:49 The Evolution of Wearable Technology and User Experience

01:16:13 Swimming Against the Tide: The Role of Learning in Growth

Keywords

education, learning, experience design, social media, learning development, instructional design, performance support, data-driven learning, organizational change, engagement, Learning and Development, AI in Education, Performance Support, Experience Design, Leadership, Compliance, Future of Learning, Technology in Learning, Social Impact of AI, Career Choices in L&D

Takeaways

Education and learning are fundamentally different concepts.

Social media influences the way learning and development discussions occur.

Traditional learning models often fail to engage learners effectively.

Experience design is crucial for creating impactful learning experiences.

Contextual understanding is essential for effective learning.

Small details in experience design can lead to significant learning outcomes.

There is often a disconnect between learning theory and practical application.

Organizations may adopt new language without changing underlying practices.

Real learning experiences are often neglected in favor of traditional methods.

Data-driven approaches in learning can sometimes lead to superficial metrics. It's a moral dilemma in L&D to choose between compliance and making a difference.

Career choices in L&D often lead to a personal decision about impact.

There's a dichotomy in available roles in the learning industry.

AI is set to hollow out traditional education roles.

Performance support is a key area where human input is

Summary

The conversation explores the significant changes occurring in the industry, focusing on the relevance of skills, the importance of positioning, and the need for professionals to adapt to stay competitive. It highlights the varying responses individuals have to these changes, from actively engaging to feeling left behind.

Takeaways

Our industry is undergoing significant transformation.

The relevance of existing skills is in question.

Many professionals feel unprepared for these changes.

Positioning in the market is often neglected.

Adapting to new skills is essential for success.

There is a disparity in how individuals respond to change.

Some are actively pursuing new opportunities, while others are passive.

Professional development must be prioritized.

Understanding market dynamics is crucial for career growth.

Engagement with industry changes is necessary for relevance.

Titles

Navigating the Shifting Landscape of Our Industry

The Relevance of Skills in a Changing World

Sound bites

"Chasing the bus is not enough anymore"

"We need to adapt to stay relevant"

"Understanding market perception is key"

Chapters

00:00 Introduction to the Conversation

00:27 The State of Learning and Development (L&D)

Keywords

industry change, skills relevance, market positioning, professional development, career adaptation

In this conversation, Adam Harwood discusses the integration of AI in talent development and the importance of knowledge sharing within organizations. He emphasizes the need for curiosity and experimentation with AI tools, sharing personal experiences from workshops and internal sessions. The dialogue explores user stories, real-world applications, and the future of AI in HR, highlighting the significance of creating a culture that encourages exploration and collaboration.

Takeaways

AI is a tool that can enhance talent development.

Knowledge sharing is crucial for effective AI integration.

Curiosity and experimentation are key to leveraging AI.

User stories help illustrate practical applications of AI.

Creating a culture of experimentation fosters innovation.

It's important to start with real problems when using AI.

Don't hesitate to share failures; they can be learning opportunities.

Mixing different AI tools can optimize processes.

Engaging in dialogue about AI can spark new ideas.

The future of work will require continuous learning and adaptation.

Titles

Unlocking AI's Potential in Talent Development

Navigating the AI Landscape in the Workplace

Sound bites

"You can't spell AI without HR."

"AI can help solve real problems."

"Don't rely on one tool, mix it up."

Chapters

00:00 Introduction to Adam Harwood and Genomics

02:52 Exploring AI in Talent Development

08:42 Understanding AI Fundamentals and Learning

14:26 Knowledge Sharing and Internal Sessions

20:19 User Stories and Practical Applications of AI

22:19 Exploring AI Tools: A Hands-On Approach

24:06 Real-World Applications of AI in Engineering

26:01 Identifying Real Problems for AI Solutions

27:28 The Impact of AI on HR Processes

29:11 User Stories: Individual Experiences with AI

31:36 Creating a Culture of Sharing and Experimentation

34:06 Navigating Permission and Social Acceptance of AI

38:09 Encouraging Experimentation and Curiosity with AI

41:23 Identifying Problems to Apply AI Solutions

42:35 Fostering Team Collaboration and Sharing Ideas

44:59 Embracing Experimentation and Learning from Failure

47:53 The Simplicity of AI Interfaces and Accessibility

49:53 Building an AI Tech Stack and Continuous Learning

52:46 Exploring AI Use Cases and Industry Trends

55:11 The Future of Work and AI's Impact on Jobs

Keywords

AI, Talent Development, Knowledge Sharing, User Stories, Workplace Innovation, Learning and Development, AI Tools, Human-Centered Design, Future of Work, Experimentation

The Product Design for Learning Podcast - sponsored by Two Circles Design Studio.

Learning Network discount code for CONNECT, is: twocircles10

Takeaways

The Learning Network fosters a sense of belonging among its members.

Community is built on trust and openness, allowing for safe discussions.

Members range from newcomers to seasoned professionals, creating a diverse environment.

The network provides opportunities for mentorship and professional growth.

Success is measured qualitatively through member feedback and engagement.

AI is a hot topic among members, with mixed feelings about its impact.

The network evolves naturally with each new board, reflecting member needs.

Events like Tea and Talk encourage informal networking and sharing.

The Connect event focuses on the intersection of technology and humanity.

The human element remains crucial in the face of technological advancements.

Summary

In this episode of the Product Design for Learning podcast, Greg Arthur engages with members of the Learning Network to explore the significance of community in learning and development. The discussion highlights the importance of belonging, the impact of the network on its members, and the transition from being a member to a board member. The conversation also delves into how success is measured within the network, current trends such as AI, and the future of the Learning Network, culminating in an overview of the upcoming Connect event.

Timestamp

00:00:01

Titles

Building Community in Learning and Development

The Power of Belonging in Professional Networks

Sound bites

"The Learning Network fosters a sense of belonging."

"Community is built on trust and openness."

"AI is a hot topic among members."

Chapters

00:00 Introduction to the Learning Network

02:55 Understanding Community in Learning and Development

05:44 Creating a Sense of Belonging

08:25 Impact of the Learning Network

11:34 Personal Growth and Opportunities

14:19 Measuring Success in the Learning Network

17:04 Current Trends and Concerns in L&D

19:43 Innovation and Evolution in the Learning Network

21:22 Innovation Through Community Engagement

25:31 Exploring Learning Communities

27:30 The Future of Learning Networks

31:43 Connect Event Insights

Keywords

skills frameworks, performance improvement, learning and development, EdTech, agile learning, AI in education, stakeholder engagement, data analytics, organizational culture, continuous improvement

Summary

In 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.

Takeaways

Starting 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.

Titles

Rethinking Skills Frameworks

The Agility of Learning and Development

Sound bites

"Start where it hurts."

"Tech is to enable insight."

"Don't go into analysis paralysis."

Chapters

00:00 Introduction to Skills Frameworks

02:38 The Right Questions for Skills Frameworks

05:32 Rethinking Frameworks: Beyond Monstrous Spreadsheets

08:37 The Cost of Delay in Skills Development

11:13 Identifying Key Skills: Where to Start

14:13 The Relationship Between Skills and Performance

16:58 Cultural Issues vs. Skills Issues

20:02 The Role of Technology in Skills Development

22:49 Iterative Approaches to Skills Frameworks

25:54 Engaging Stakeholders in Skills Development

28:36 Conclusion: Building a Dynamic Skills Framework

31:16 Rethinking Skill Gaps and Business Outcomes

33:35 The Role of AI in Skills Frameworks

37:11 Essential Skills for Building a Skills Framework

39:48 Navigating Resistance and Building Resilience

43:44 Technology's Role in Learning and Development

49:21 The Impact of AI on Skills Frameworks

54:45 Actionable Advice for Implementing Skills Frameworks

Keywords

future of learning, learning and development, corporate learning, accessibility, inclusivity, data-driven learning, AI in education, generational perspectives, employee experience, decentralized learning

Summary

In 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.

Takeaways

The 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.

Titles

The Uncertain Future of Learning

Accessibility in Learning: A Vision for the Future

Sound bites

"The future of learning is uncertain."

"Self-directed learning is powerful."

"Data is the missing link in L&D."

Chapters

00:00 The Future of Learning: An Introduction

01:17 Diverse Perspectives on Learning's Future

05:23 Self-Directed Learning and Corporate L&D

09:33 The Challenge of Bad Learning Experiences

12:10 Generational Perspectives on Learning

15:57 Bridging the Gap: Technology and Learning

19:06 The Role of Employee Experience in Learning

26:00 Starting the Transformation in Learning

26:48 Mapping HR to Customer Experience

28:32 The Importance of Genuine Outcomes

29:50 The Future of Learning and Development

31:27 Generational Shifts in Learning Expectations

34:34 The Role of AI in Learning and Development

38:07 Redefining Learning in the Workplace

40:43 The Impact of AI on Content Creation

45:07 The Challenge of Change in L&D

49:06 Decentralizing Learning Experiences

50:55 Transforming Online Facilitation

53:52 The Role of Technology in Learning

56:44 Data-Driven Learning and Development

58:38 The Future of Learning and Data Management

01:01:19 Understanding Learning Outcomes and Business Impact

01:05:40 The Importance of Employee Experience

01:07:55 Measuring Employee and Employer Value

01:13:37 The Path Forward for Learning and Development

Keywords

learning design, cognitive neuroscience, attention, focus, engagement, product design, learning revolution, digital detox, future of learning, organizational learning

Summary

In 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.

Takeaways

The 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.

Titles

Revolutionizing Learning Design

The Science Behind Learning

Sound bites

"Learning is hard."

"We are in feedback loops of shiny tools."

"Can we learn how to learn better?"

Chapters

00:00 Introduction to Learning Design

03:03 The Role of Cognitive Neuroscience in Learning

05:59 Bridging the Gap: Translating Science into Practice

09:06 Designing for Individual Differences in Learning

12:00 Attention and Focus in Learning Design

15:03 Evaluating E-Learning Experiences

18:02 The Importance of Practical Application in Learning

20:57 Reactions to New Learning Approaches

24:08 The Need for a Learning Revolution

30:41 Understanding Learning and ROI in Organizations

33:47 The Impact of Technology on Learning Behavior

36:18 Managing Attention in a Distracted World

41:03 The Journey of Learning and Personal Growth

44:41 Challenges in Learning and Development

50:37 Starting Points for Effective Learning

54:47 The Future of Learning and Development

Keywords

AI, 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-making

Summary

In 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.

Takeaways

AI 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.

Titles

AI in Production: A New Era

The Human Element in AI Utilization

Sound bites

"It's not just AI did it all."

"You can innovate bad practices."

"Common sense will prevail."

Chapters

00:00 Introduction to AI in Production

03:27 The Importance of AI in Production

06:36 Misconceptions About AI and Job Security

11:12 The Role of Human Skills in AI Utilization

16:08 Navigating the AI Landscape

22:00 The Future of AI in Business

23:18 The Early Days of AI and Its Context

24:22 Understanding AI's Role in Project Management

27:29 Human-Centric Approach to AI Utilization

30:22 The Binary Nature of AI and Its Limitations

32:03 Trial and Error in AI Integration

34:50 AI as a Collaborative Partner

39:39 The Future of AI in Design and Content Creation

43:48 The Role of AI in Creative Industries

46:07 Mindset and Human Skills in the Age of AI

50:04 Prompt Engineering and Effective AI Interaction

56:09 The Future of AI and Human Collaboration