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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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Rewriting the Future of Work, Skills, and Hands-On Learning
Tech in EdTech
30 minutes
7 months ago
Rewriting the Future of Work, Skills, and Hands-On Learning
In this episode, Olivia sits down with Sara Leoni, CEO of Ziplines Education, to talk about what learners truly need: credentials that carry weight, hands-on simulations that reflect real work, not busywork, and support that builds confidence along the way. They dive deep into why higher ed is still stuck on outdated skill sets, what practical, long-lasting skills look like today, and why small businesses might be the most underused training ground we have. If you’re rethinking what it a...
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.