iLRN Illuminators Forum — episode #4: Rehearsing the Real: AI, XR, and Performance Under Pressure; (December 26th, 2025) with Amany AlKhayat
iLRN ILLUMINATORS' FORUM
... the weekly scanning report of
iLRN IMMERSIVE FUTURES' State of XR & Immersive Learning 2026 effort
episode #4: "Rehearsing the Real in 2025: AI, XR, and Performance Under Pressure"
Forum Host: Jonathon Richter
Special Guest: Dr. Amany AlKhayat
Columbia Teachers College
Episode Snapshot
Series: iLRN Illuminators’ Forum (Weekly Global Scan)
Purpose: Contribute to the 2026 State of XR & Immersive Learning report through structured 2025 horizon scanning across regions, sectors, and technologies.
Episode Title:
Date: [Friday, Month Day, 2025]
Time: [Start–End, Time Zone]
Format: Live webinar + recording
Registration: [Link]
Recording: [YouTube Link — add after publishing]
Host: Jonathon James Richter
Special Guest: Dr. Amany AlKhayat
Overview
This episode continues iLRN’s 2025 global scanning effort in support of the 2026 State of XR & Immersive Learning report. We focus on signals suggesting a shift toward immersive and AI-augmented learning experiences designed for high-stakes communication and performance under pressure.
Rather than centering on a single paper or product, the Illuminators’ Forum format emphasizes interpretation and sense-making: what appears to be accelerating, what is consolidating into practice, and where meaningful tensions and design tradeoffs are becoming visible.
Guest Perspective
Dr. Amany AlKhayat joins as a special guest with expertise at the intersection of:
- immersive learning design and research
- conversational AI and learning interaction
- language, communication, and performance-oriented learning contexts
- authentic institutional settings and real constraints
Her role in this episode is to serve as an anchor and interpretive lens—helping us connect field-level patterns to grounded considerations in learning design, measurement, and learner experience.
Focus Areas
- AI-Augmented Immersive Learning
- Mixed Reality and Performance Contexts
- Learning Sciences and Design Tradeoffs
- Workforce Readiness and High-Stakes Communication
- Strategic Communication and Organizational Behavior
2025 Scan Pillars Featured in This Episode
Pillar 1: XR + AI in Workforce Training is Shifting Toward Performance Readiness
A 2025 signal across regions and sectors: immersive learning is increasingly framed as rehearsal for consequential moments (communication, interviews, negotiations, leadership interactions), rather than generalized skill acquisition.
Indicative dimensions to scan:
- scenario-based rehearsal and task anchoring
- adaptive conversational agents and feedback loops
- performance evidence vs. participation/completion metrics
- personalization at scale (and its limits)
Pillar 2: Immersive Strategic Communication and Organizational Behavior as Emerging Capabilities
A second 2025 signal (more emergent, but accelerating): immersive systems increasingly function as organizational capability infrastructure—supporting communication practice, alignment, sensemaking, and behavioral dynamics under real constraints.
Indicative dimensions to scan:
- communication as performed interaction (not content delivery)
- AI agents as role-players, coaches, or stressors
- organizational ethics: agency, transparency, accountability
- readiness vs. manipulation concerns
Session Structure
Total Duration: ~60 minutes
- Opening Framing (5–7 min)
- Context for the 2025 global scan and how this episode fits the report pipeline
- Featured Dialogue (25–30 min)
- Moderated conversation with Dr. Alkhayat connecting expertise to global signals
- Additional 2025 Trends (15–20 min)
- Two scan-derived trends to broaden the picture (the two pillars above)
- Wrap-up (5 min)
- Takeaways, thanks, and preview of the next session
Slides are optional. The default mode is conversational and reflective.
Discussion Prompts
Use/select 4–6 depending on time.
- Where are you seeing the most credible movement from “training content” to performance rehearsal in immersive learning?
- What design choices matter most when performance is evaluated under pressure (timing, feedback, fidelity, social presence, agent behavior)?
- What should count as evidence in these contexts—performance metrics, physiological signals, qualitative indicators, or a hybrid?
- How do we distinguish “supporting communication” from shaping behavior in organizational settings?
- What ethical lines are becoming harder to see as AI agents become more persuasive, adaptive, and embedded in learning environments?
- What seems stable across regions in 2025, and what appears culturally or infrastructurally contingent?