

Class Disrupted
Diane Tavenner and Michael Horn
with Diane Tavenner and Michael Horn
Episodes
Mentioned books

8 snips
Nov 11, 2025 • 0sec
Netflix’s Reed Hastings on the Impact of AI on Schools
In this engaging discussion, Reed Hastings, founder of Netflix and education advocate, shares his insights on AI's transformative potential in schools. He highlights how AI can personalize learning and shift teacher roles to focus more on social-emotional skills. Reed emphasizes the need for schools to maintain civic values while leveraging technology for instruction. The conversation also touches on innovative school models, the importance of foundational knowledge, and how AI could reinvent assessments and enhance early reading interventions.

Nov 3, 2025 • 0sec
What AI in Healthcare Can Teach Us About Its Impact on Education
Diane and Michael sit down with Dr. Tom Lee, acclaimed physician and founder of One Medical and Galileo Health, to explore the parallels between healthcare and education in the age of AI. The conversation dives into how Dr. Lee’s mission to radically transform healthcare systems mirrors similar challenges and opportunities in education, especially around the adoption and integration of AI. They discuss shifting from legacy models to more holistic, technology-enabled frameworks that prioritize both personalized service and systemic change.
https://archive.org/download/112204-future-of-education-what-ai-teach-us-v-2/112204_Future%20of%20Education_What%20AI%20Teach%20US_V2.mp3
Episode transcript:
Transcript_ What AI in Healthcare Can Teach Us About Its Impact on EducationDownload

Oct 20, 2025 • 0sec
From Education to Anthropic: What Impact Will AI Have?
Michael and Diane sit down with Neerav Kingsland, a longtime education leader now at Anthropic, to explore the evolving intersection of artificial intelligence and education. Neerav shares his journey from working in New Orleans’ public school reform to his current role at one of the leading AI companies. The conversation covers the promise of AI tutors and teacher support tools, the key role of application “wrappers” for safe and effective student interaction with AI, and the need for humility and caution, especially with young learners. The episode also delves into the broader societal impacts of AI, the future evolution of schools, and the increasing importance of experimentation and risk-taking for students navigating an uncertain, tech-driven landscape.
https://archive.org/download/110946-future-of-education-from-education-to-anthropic/110946_Future%20of%20Education_From%20Education%20to%20Anthropic.mp3
Episode transcript:
Final Transcript_ From Education to AnthropicDownload

Sep 25, 2025 • 0sec
Class Disrupted Returns with More Questions About AI
Class Disrupted is back for season 7! In this kickoff episode, Diane Tavenner and Michael Horn reconnected after the summer to reflect on how artificial intelligence is shaping the education landscape. They discussed lingering skepticism about AI’s current use in schools and shared their evolving feelings about the technology. The hosts described their plans for the new season, which starts with a broad look at AI’s development both inside and beyond education, before narrowing in on entrepreneurs and real-world applications that could reinvent learning.
https://archive.org/download/107817-v-1/107817_V1.mp3
Episode transcript:
Transcript_ Class Disrupted Returns with More Questions About AIDownload

May 24, 2025 • 0sec
Artificial Intelligence in Human Learning: Risks, Opportunities, and What’s Next
In this end-of-season episode, Michael and Diane come together in person to reflect on the arc of their AI-focused sixth season. They discuss key themes and takeaways, including the enduring importance of foundational knowledge, skepticism around the speed and impact of AI-driven change within traditional schools, and how transformative innovation is more likely to emerge from new educational models outside the mainstream. Their conversation explores the challenges and opportunities AI brings, particularly in developing curiosity as a critical habit for learners, and revisits how their own perspectives shifted throughout the season.
https://archive.org/download/end-of-season-episode-edited/End%20of%20season%20episode%20EDITED.mp3
Episode transcript:
Transcript – Last episode of CDDownload

May 14, 2025 • 0sec
Processing AI in Education Out Loud
Diane and Michael talk through what they’ve learned from their recent miniseries on AI in education. They discuss how AI offers unprecedented access to expertise, but also highlight concerns about its effectiveness for young learners. Throughout, Diane and Michael grapple with skepticism, optimism, and the practical challenges of embedding AI in educational systems, all while looking ahead to what meaningful, student-centered innovation could look like.
https://archive.org/download/96905-future-of-education-processing-ai-in-education-out-loud-v-2/96905_Future%20of%20Education_Processing%20AI%20in%20Education%20Out%20Loud_v2.mp3
Episode transcript:
Title_ Processing AI in Education Out LoudDownload

Apr 15, 2025 • 0sec
The Premortem on AI in Education with Rebecca Winthrop
In this episode of Class Disrupted, hosts Michael Horn and Diane Tavenner chat with Rebecca Winthrop, a senior fellow and director at the Brookings Institution, about the impact of AI on education. The conversation kicks off by highlighting Rebecca’s idea of a premortem approach, which involves anticipating the negative impacts of AI before they occur and strategizing ways to mitigate these risks. They identify key concerns such as cognitive offloading, manipulation, and the effects on socialization and consider how this technology might catalyze a rethinking of the purpose of education.
https://archive.org/download/winthrop-video/Winthrop%20Video.mp3
Episode transcript:
The Premortem on AI by Rebecca WinthropDownload

Mar 28, 2025 • 0sec
The Challenges AI Poses for Learning How to Write
In this episode, Diane Tavenner and Michael Horn delve into the role of AI in writing education with Jane Rosenzweig, director of the Harvard College Writing Center. Jane underscores the importance of writing as a process of thinking and warns against the “deskilling” of students because of an overreliance on AI. The conversation explores how AI may aid resource shortages in education, while also pondering if AI’s efficiency overshadows the importance of deep learning and authentic writing skills.
https://archive.org/download/93863-v-2/93863_V2.mp3
Episode transcript:
Jane RosenzweigDownload

Mar 16, 2025 • 0sec
Needed: Real Experiences, Real People
On this episode, Diane and Michael welcome guest Julia Freeland Fisher, a distinguished researcher from the Clayton Christensen Institute, whose work delves into the intersection of AI and education. The conversation explores the potential and challenges AI presents in the educational landscape. Julia shares her insights on the importance of using AI to enhance personalized learning experiences and facilitate real-world connections for students. She also voices her concerns about AI’s impact on human connection, emphasizing the risk of AI replacing genuine interpersonal relationships.
https://archive.org/download/92929-future-of-education-julia-freeland-fisher-on-class-disrupted-with-intro-v-01/92929_Future%20of%20Education_Julia%20Freeland%20Fisher%20on%20Class%20Disrupted%20with%20intro_V01.mp3
Episode transcript:
Real Experiences, Real People with Julia Freeland FisherDownload

Mar 2, 2025 • 0sec
How AI Could Lead to a Massive Productivity Boost in Education
Siya Raj Purohit, an education initiatives specialist at OpenAI, sheds light on AI's transformative role in education. She discusses how tools like ChatGPT can personalize learning and alleviate teacher workload while emphasizing the importance of human connections in teaching. Siya also explores the evolution of educational assessments, highlighting critical thinking over rote learning. She shares innovative examples of AI integration in higher education and addresses concerns about dependency on AI, advocating for educators to guide effective use of technology.


