Navigating the Future of AI in Education episode artwork

EPISODE · Apr 10, 2026 · 12 MIN

Navigating the Future of AI in Education

from Ed Resonance Talks · host Robert Fryer

The era of basic chatbots is over. Welcome to the age of Agentic AI. What happens when artificial intelligence in our schools goes from being a reactive copilot to an autonomous system capable of planning, executing tasks, and analyzing data on autopilot? Join educational researcher and SPED/STEM teacher Robert Fryer, alongside his AI research assistant, Alice, for a deep dive into the structural shift happening right now in classrooms and administrative offices. In this first look at the latest research on Agentic AI, we unpack how these advanced systems can reduce administrative loads and save educators up to six hours a week. But there is a catch. We also explore the "Dead Horse Theory" of education—the danger of using revolutionary technology to prop up obsolete, one-size-fits-all teaching methods. In this episode, we cover: The fundamental leap from generative (reactive) to agentic (autonomous) AI. How autonomous systems are reshaping the human-computer interaction paradigm. Why legacy instructional models—like rote memorization and standardized writing—must evolve. The hidden risks: navigating the digital divide, data privacy concerns, and the urgent need for new school governance. If you are an educator, administrator, or just curious about the future of learning, it is time to dismount the dead horse and prepare for the next wave of educational technology. Support the Show: If you found value in this episode, please like, subscribe, and share this episode so you never miss an update on the future of education! Resources & Links: For full research notes, episode transcripts, and more high-quality resources, visit edresonance.com .

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This episode is 12 minutes long.

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This episode was published on April 10, 2026.

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The era of basic chatbots is over. Welcome to the age of Agentic AI. What happens when artificial intelligence in our schools goes from being a reactive copilot to an autonomous system capable of planning, executing tasks, and analyzing data on...

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