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Tech in EdTech
Magic EdTech
79 episodes
3 weeks ago
Dan Sandhu, CEO, EDT, lays out a practical, evidence‑first view of AI in education. He argues that AI must be anchored to shared educational outcomes, owned by local systems, and guided by living policies for ethics, safety, training, and leadership. Equity remains the strategic lens. AI can widen gaps when bandwidth, devices, and power are scarce, yet it can also narrow them by enabling access to national and sub‑national data on school quality, real‑time monitoring, and targeted support.
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Education
Technology,
How To
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All content for Tech in EdTech is the property of Magic EdTech and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Dan Sandhu, CEO, EDT, lays out a practical, evidence‑first view of AI in education. He argues that AI must be anchored to shared educational outcomes, owned by local systems, and guided by living policies for ethics, safety, training, and leadership. Equity remains the strategic lens. AI can widen gaps when bandwidth, devices, and power are scarce, yet it can also narrow them by enabling access to national and sub‑national data on school quality, real‑time monitoring, and targeted support.
Show more...
Education
Technology,
How To
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Quality by Design in the AI Era
Tech in EdTech
50 minutes
1 month ago
Quality by Design in the AI Era
Dr. Andrea Gregg, Associate Research Professor and Director of Learning Experience Design at Penn State University, outlines a practical approach to building strong online learning in the AI era. She explains why simple, “don’t make me think” design protects real learning, and why every choice should tie back to outcomes and assessment. She covers what makes micro-credentials credible, how to avoid personalization and dashboard features that mislead instructors, and where AI can help without ...
Tech in EdTech
Dan Sandhu, CEO, EDT, lays out a practical, evidence‑first view of AI in education. He argues that AI must be anchored to shared educational outcomes, owned by local systems, and guided by living policies for ethics, safety, training, and leadership. Equity remains the strategic lens. AI can widen gaps when bandwidth, devices, and power are scarce, yet it can also narrow them by enabling access to national and sub‑national data on school quality, real‑time monitoring, and targeted support.