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Moving L&D from focusing on knowing to thinking with Ray Jimenez

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Episode summary

In this episode of the Learning While Working Podcast, Ray Jimenez talks about how employees are using AI for learning. Ray will share practical examples of incorporating ChatGPT into the learning experience, such as learner familiarisation, troubleshooting, and coaching.

 

About Ray Jimenez

Ray Jimenez Ph.D. is the Chief Learning Architect at Vignettes Learning, trainingmagnetwork.com and situationexpert.com. He has worked with the American Bankers Association, Neiman Marcus, the US Air Force, NASA, Blue Cross, Goodwill Industries, Pixar Studios, among others. Ray's expertise is in microlearning, story-based learning design, scenario-based learning design and creative problem solving.

 

Key Takeaways

  • There have been successful experiments using ChatGPT's integration in learning platforms, such as rapidly familiarising technicians with new subject matter, accelerating ISO certification processes, and enabling coaches to provide targeted prompts and expand learners' growth mindset.
  • The potential for private data integration in ChatGPT offers exciting opportunities for companies, allowing learners to explore and interact with their own proprietary information, creating a closer connection between learning and real-life work situations.
  • Working with AI involves recalibrating the way we think about learning, moving away from a reliance on content delivery and toward nurturing critical thinking, questioning, and debating skills, thus enabling learners to become more autonomous and better equipped to navigate the complexities of the modern workplace.

 

Segmented time stamps:

  • 00:00 We need to recalibrate our thinking in learning away from content
  • 01:56 How ChatGPT can be used by learners
  • 05:04 On workplaces having their own Generative AI tools
  • 11:08 The idea of templates for learners
  • 16:00 Using AI for more hands-on and physical work
  • 19:34 Examples of using critical thinking alongside AI
  • 27:14 ChatGPT being more generalised than specialised

 

Links from the podcast:


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