Class Disrupted

Episode transcript:

Cady Ching, CEO of Summit Public Schools, and Dan Effland, Senior Director of Innovation, joined me and Diane on Class Disrupted to discuss Summit’s ongoing transformation from Summit 2.0 to a new, AI-native school model. This is the third and final episode in this mini-series exploring new school models powered by AI—check out our first two on Alpha and Flourish.

This conversation explored how clarity around school outcomes and model design enables effective integration of AI. Cady and Dan shared insights into the evolution of Summit’s expeditions, the importance of holistic, purposeful education, and the need for a robust technology infrastructure to scale innovation.

Episode transcript:

John Danner, the cofounder of Rocketship Public Schools and now the founder of Flourish Schools, an emerging network of AI-native microschools, joined Michael and Diane to share what’s now possible when it comes to school design in the age of AI that wasn’t previously possible. John explained how Flourish is leveraging AI to deliver foundational skills like reading and math through conversational tutors to free up teachers to focus on building relationships and nurturing students’ passions and “superpowers.” John pointedly explained how the conversational models can be much more powerful than previous edtech applications. He also talked about how Flourish is working to use AI to provide real-time assessment and feedback on student projects.

Episode transcript:

Many in education—and many beyond—are talking about Alpha School right now. Alpha has been featured in dozens of articles in the mainstream and education media outlets. Its leadership has appeared on countless podcasts to explain and dissect its school model and explore the bigger opportunity to rethink schooling. 

On this episode of Class Disrupted, Mackenzie Price, co-founder of the Alpha School, joined Michael and Diane not to explain Alpha School’s model, but instead to dive deep into how Alpha School is leveraging AI to radically rethink the school experience. The intent behind this conversation is more on how AI itself is being leveraged at Alpha—from the core academic block to the afternoon spent in real-world projects and life skills development. What’s possible now in school design that wasn’t possible a decade earlier thanks to AI? 

Episode transcript:

Diane and Michael sat down with Paymon Rouhanifard, CEO of Timely, to explore how AI optimization can transform master scheduling in schools. The conversation unpacked the critical role that master schedules play in shaping student experiences, resource allocation, and district priorities. Paymon explained the pain points schools face with traditional scheduling methods and how Timely’s AI-driven approach saves hundreds of hours while enabling systemic change and better use of resources.

Episode transcript:

Michael and Diane stepped back from their interviews to have a one-on-one conversation and reflect at the midpoint of their season on AI in education. They dove into the evolving role of AI in education and questioned whether AI is truly transforming the system or simply being layered onto outdated structures. They explored a framework of three school models that Diane posed and discussed the challenges of meaningful innovation amidst existing accountability systems and education policies. From these models, they analyzed how one might expect transformational change to occur in K–12 schooling—through traditional schools incrementally changing and evolving over time or, as Michael and Diane both argued, through fundamental migration away from the existing system.

Episode transcript:

Irina Jurenka, the research lead for AI in education at Google DeepMind, joined Michael and Diane to discuss the development and impact of AI tutors in learning. The conversation delved into how generative AI, specifically the Gemini model, is being shaped to support pedagogical principles and foster more effective learning experiences. Irina shares insights from her team’s foundational research, the evolution of AI models over the past three years, and the challenges of aligning AI tutoring with the learning sciences. Irina closed with reflecting on how these innovations may shape the future of education for the next generation—with a hope for a thoughtful blending of technology with the irreplaceable role of human teachers.

Episode transcript:

Michael and Diane are joined by Laurence Holt to unpack the current landscape and future potential of AI in K–12 education. The discussion centers on the three main AI use cases emerging in schools: generating materials, providing feedback, and AI tutoring. The conversation explores the vital difference between feedback and grading, the importance of instructional context for effective AI tools, and the complex challenges in cultivating curiosity and self-efficacy in classrooms. The trio also delves into why AI tutoring isn’t yet transformative for most students, the limitations of current chatbots, and the need for school model redesigns and tools that support social learning and durable skills.

Episode transcript:

Michael and Diane sit down with Alex Kotran, founder and CEO of the AI Education Project (AIEDU), to dive into what true “AI readiness” means for today’s students, educators, and schools. They explored the difference between basic AI literacy and the broader, more dynamic goal of preparing young people to thrive in a world fundamentally changed by artificial intelligence. The conversation ranged from the challenges schools face in adapting assessments and teaching practices for the age of AI, to the uncertainties surrounding the future of work. The episode leaves listeners with some key questions about the role of education, the need for adaptable skills, and how we can collectively steer the education system toward a future where all students benefit from the rise of AI.

Episode transcript:

Diane and Michael dive into the impact of AI on schools with guest Reed Hastings, founder of Netflix and a dedicated education advocate. The conversation explores Reed’s pragmatic optimism about AI’s potential to individualize learning, reshape the roles of teachers, and revolutionize assessment practices. Reed shares his belief that while AI will transform many aspects of education, it’s crucial for schools to nurture citizenship, social-emotional skills, and a foundation of knowledge independent of technology. The episode also touches on future models for schools, equity in an AI-driven future, and practical examples of how AI is currently enhancing reading and math instruction.

Episode transcript: