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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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Building Better Universities: Lessons from an Innovative Model
Tech in EdTech
52 minutes
11 months ago
Building Better Universities: Lessons from an Innovative Model
Christine Looser, Senior Academic Director of Minerva Project, shares insights on transforming higher education through active, skills-based learning and institutional partnerships. She discusses Minerva’s innovative approach, which prioritizes "durable, transferable skills" rather than just technical knowledge. The discussion also addressed AI’s role in education, the importance of reflection in learning, and strategies for overcoming institutional resistance to change. With a focus on...
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.