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The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
Episodes

Monday May 11, 2026
Monday May 11, 2026
Summary
In this conversation, Jason Gorman and Fadia Rostom explore the deeply human side of AI adoption in education. Fadia, founder of Vision Scholar and a former school principal with over 30 years in education and technology, shares how her journey as a Syrian immigrant shaped her passion for helping teachers rediscover the joy of teaching through AI. They discuss the layers of fear that hold educators back, from the intimidating name "artificial intelligence" to the broader resistance to change, and why teachers need the same permission to experiment and make mistakes that they give their students.
Takeaways
- AI can help teachers rediscover the joy of teaching.
- The name "artificial intelligence" itself creates fear and resistance.
- Teachers need permission to experiment and make mistakes.
- AI policies should be built from each community's unique context.
- AI works best in education through interdisciplinary approaches.
- How we measure success in education needs to be rethought.
- Change in education is slow and requires brave leadership.
- Celebrating what we share as humans matters now more than ever.
- Education needs to bring back life skills and critical thinking.
- Fear is real, but we owe it to students to move through it.

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