Educators are surrounded by bold promises about AI and learning technologies, but no one could realistically test them all.
That’s why we created TERC Tech Talks, a video podcast where STEM education researchers and guest experts test-drive emerging tools unscripted and with real learning contexts. After nine episodes exploring tools from ChatGPT Study Mode to AI simulations that model student thinking, in conversation with six educators and a student, we’ve gained important insights. Here are the biggest lessons so far.
1. Educators don’t need more tools. They need better support.
Educators are inundated with promises of transformation. What they need instead is help understanding how a tool fits into real instructional goals, classroom constraints, and student needs, not just what it can do in theory. Context matters and thoughtful framing makes it easier for teachers to decide what to try, how to use it, or when to skip it entirely.
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2. Relationships remain central, no matter how advanced the tech
Even when AI tools supported differentiation, organization, or multimodal expression, we found its value depended on how teachers used it to support real relationships with learners. Technology can assist, but it cannot replace the work of noticing, responding, and building trust. Every episode reinforced that effective teaching is grounded in human connection.
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3. Student perspectives are very important to the conversation
Hearing directly from a high school student about why peers use AI tools, what feels genuinely helpful, and what feels harmful surfaced insights that adults alone cannot provide. Students are already navigating these tools in their daily learning. Their experiences and perspectives are essential for understanding how AI is actually being used and experienced in educational settings.
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4. Unscripted testing is more useful than polished demos
We test AI tools live and without scripts. When tools struggle, give unclear feedback, or behave unexpectedly, viewers see it happen and hear how we make sense of it in real time. Those moments provide information that polished demos can’t offer. In a space crowded with marketing videos, honest exploration helps educators understand how a tool behaves and decide for themselves whether it fits their goals and constraints.
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5. AI works best as a starting point, not a finished product
Whether generating lesson ideas or scaffolds, AI showed strength as an idea generator rather than a final answer. Again and again, our conversations returned to the importance of professional judgment. Teachers decide what is useful, what needs revision, and what does not belong in their classrooms. AI can offer multiple entry points, but it cannot replace the expertise that comes from knowing students and learning goals deeply.
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Why we’ll keep going
TERC Tech Talks is not about predicting the future of AI in education. It is about helping educators make informed, grounded decisions right now. By testing tools honestly, centering classroom realities, and learning alongside our viewers, we aim to create a space where curiosity is encouraged. As AI tools continue to evolve, we will keep testing, ask hard questions, and share what we learn along the way.
New episodes of TERC Tech Talks are released biweekly on YouTube: https://www.youtube.com/playlist?list=PLhrSvpEwhfz8W-KWPyXh7uojwDnoLULH7
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