INFORMAZIONI SU QUESTO EPISODIO
Some students log in, submit assignments, and still drop out. So what are we really measuring? In this episode, Shaunak Roy explains why most engagement metrics fail to predict retention and what institutions should be looking at instead. From early risk signals to faculty workload and AI hype, this conversation challenges how higher ed thinks about engagement and what it takes to keep students on track.
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Stati Uniti
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ALTRI EPISODI IN QUESTO PODCAST
Thomas Cavanagh, Vice Provost for Digital Learning at the University of Central Florida, breaks down how analytics should drive retention, graduation rates, and student success. He explains why adoption metrics miss the point and how LMS data can act as an early warning system for timely student su…
AI makes it dangerously easy to stop at one confident answer. For education publishers and learning platforms, that’s a product risk: teachers need sources they can trust, students need research support (not shortcuts), and credibility doesn’t survive black-box answers.
In this episode, Jan van der…
Parents want to help their kids. Most don’t know where to start. In this episode of Tech in EdTech, Zahra speaks with Stephanie Parra, M. Ed., CEO of ALL In Education, about making proficiency, communication, and learning tools easier for families to understand and act on.
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 …
Clicks and completions are easy to report and mistake for an impact. In this Tech in EdTech episode, Sylvie Milverton, CEO & Co-founder of Lynx Educate, shares how companies use education to meet community and business goals and why the real scorecard must track the use of skills in work and li…
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