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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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Beyond the Buzzwords: Delivering Real Impact in Workforce Education
Tech in EdTech
32 minutes
10 months ago
Beyond the Buzzwords: Delivering Real Impact in Workforce Education
Juanita Serrano, Head of Impact at Cengage and founder of Code Connect, has an insightful discussion with Laura Hakala about delivering real impact in workforce education. Drawing from her personal experience as a workforce program participant, Juanita shares how Cengage measures impact through various metrics and shares essential insights into employer-aligned training, AI-driven skills mapping, the evolving role of boot camps and microcredentials, and how community partnerships can close cr...
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.