Billede af showet Inside the Learning Experience with WGU Labs

Inside the Learning Experience with WGU Labs

Podcast af WGU Labs

engelsk

Videnskab & teknologi

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Inside the Learning Experience explores the future of education through conversations with experts in learning design, technology, and academic research, diving into the evolution of learning, the challenges students face, and how we can create more effective, equitable, and impactful educational experiences.

Alle episoder

17 episoder

episode How AI Is Personalizing Postsecondary Education cover

How AI Is Personalizing Postsecondary Education

What if every student had a tutor who was always available, always personalized, and always ready with the right feedback at the right moment? In this episode of Inside the Learning Experience, host Betheny Gross sits down with Lauren Zito, a senior research scientist at WGU Labs, to explore how AI is transforming postsecondary education — not just as a delivery tool, but as a core part of how courses are designed. They dig into the science behind why timely feedback matters, what personalization actually looks like in practice, and how role-play and simulation are opening up entirely new kinds of learning that weren't possible before. Plus: the "experience gap" facing new workers, and why Lauren believes students need to learn how to learn with AI before they can effectively work with it.

16. mar. 2026 - 18 min
episode Designing Proactive Student Support: What Learners Want from AI cover

Designing Proactive Student Support: What Learners Want from AI

What happens when students don’t get the help they need, despite institutions offering robust support services? In this episode of Inside the Learning Experience, WGU Labs researchers unpack what they’re learning from students as they design Stu, an AI-powered student support tool built to proactively connect learners with the right resources at the right time. Betheny Gross is joined by senior research scientists Youngki Hong and Stephanie Reeves to explore why student support services are underutilized, how barriers like belonging, stigma, and awareness shape help-seeking behaviors, and where AI can and can’t step in. Drawing on large-scale surveys, interviews, and early user testing, the conversation highlights critical design insights, equity considerations, and open research questions around personalization, trust, and the role of AI in supporting motivation, belonging, and long-term student success.

8. jan. 2026 - 25 min
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