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Developing AI literacy for L&D with Stella Lee

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Episode summary

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 Lee

With 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.

Segmented time stamps:

  • 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

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