ASU+GSV Summit Sessions

The episode contains a respectable number of named data points and frameworks (DICE model, Morehouse outcomes, Immerse retention study, Miranda AI overlay), but the conversation frequently plateaus into conference-panel consensus and feel-good generalities. The Miranda AI knowledge-graph concept and the cross-platform UX observation are genuinely useful, but they sit alongside a lot of throat-clearing.

“what we have built is, um, uh, basically an AI overlay that observes the student playing or the learner playing the game, and then builds a knowledge graph based on it. We call this technology, uh, Miranda.”

“DICE model which maybe um, people here are familiar with. Is it dangerous to do in real life? And you can do this in VR safely? Um, is it impossible taking your class to the moon?”

Most arguments here are well-worn in the edtech and XR space: gamification critique, tech-for-tech's-sake warning, flow theory, and the factory-worker assessment metaphor all circulate widely. The Miranda AI overlay and the cross-platform UI parity observation between VR and mobile are the only genuinely fresh contributions; everything else is consensus panel fare.

“people who don't necessarily get games add Sort of like sticker kind of features in products that are not really games. There is not necessarily the engagement and, and the storytelling”

“AI does not necessarily always produce the most quality 3D models. Um, and it can't replace the things that I think are being promised that it can replace”

All three panelists are genuine practitioners with relevant institutional roles - an ASU lab director with 25 years in games, a Meta education XR lead, and a Pearson Labs R&D manager - and they speak from real operational experience. None are top-tier executives or prolific researchers, and seniority is unclear for two of the three, but the practitioner grounding is real.

“I actually joined an XR startup right before the Metaverse, uh, Hype curve, when everybody started to talk about Metaverse. And uh, we had a product”

“I work within uh, Pearson Labs. So we're doing sort of the R and D experimentation and some of those studies alongside some of our efficacy folks”

The episode has a solid density of named statistics, institutions, and tools - Morehouse 12% outcome lift, Immerse 92% vs 76% retention, Forrester 66%/78% figures, plus named platforms like ArborXR, ManageXR, Body Swaps, and Meshi. However, no study methodology is interrogated, sample sizes are never given, and several claims float without source anchoring, limiting the evidentiary quality.

“They've reported um, an increase of about 12% in student outcomes, um, for students who have been able to integrate with uh, this VR in the classroom. And excitingly actually a 10% increase in student engagement and um, attendance”

“a forester research was done last year that showed that 66% of the higher ed educators that were surveyed, uh, reported that they have seen increased outcomes, not engagement, actual outcomes”

The host asks a few structurally useful questions (when does immersive NOT work; what's the business model) but never pushes back on a single statistic, never probes methodology, and the lightning round dissolves into panelists agreeing with each other. The opening Plymouth Rock anecdote eats meaningful time and the questions are largely invitations to self-promote rather than genuine challenges.

“Is there evidence you can point to and can you share that with us?”

“What's your big bet? Um, and what needs to happen for this to be mainstream?”