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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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The Future of Social Emotional Learning: Access, Agency, and Action
Tech in EdTech
39 minutes
9 months ago
The Future of Social Emotional Learning: Access, Agency, and Action
In this episode of Tech in EdTech, Sean Strathy sits down with Jason Kahn, Founder and Chief Science Officer at Mightier, to explore how digital play can power real emotional growth in children. They dive into timely topics like the urgency for SEL programs in schools, the impact of the pandemic on social development, the difference between gamification and true play, and how to design digital tools with therapeutic value. The conversation also covers screen time balance, the evolving SEL pol...
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.