Designing extended reality learning scenarios with generative artificial intelligence without losing the learning

James R. Birt; Thomas Cochrane

doi:10.24135/pjtel.v8i1.242

Abstract

Generative artificial intelligence is changing how educators design learning activities, but faster content generation does not guarantee better learning. This presentation introduces the Prompt to Practice Extended Reality Learning Design Framework, a pedagogy led model for using generative artificial intelligence and vibe coding to design immersive simulation scenarios. The framework begins with the learning problem, uses structured prompting to externalise scenario logic, translates that logic across extended reality platforms, and evaluates learner judgement through design-based research cycles. It argues that generative artificial intelligence should support, rather than replace, educator judgement by making learning design visible, testable and transferable.

Original language	English
Pages (from-to)	3-8
Number of pages	6
Journal	Pacific Journal of Technology Enhanced Learning
Volume	8
Issue number	1
DOIs	https://doi.org/10.24135/pjtel.v8i1.242
Publication status	Published - 28 May 2026
Event	Symposia on Higher Education Research Informed Practice: Cognitive Offloading or Effective Practice? Exploring the Future of Learning with GenAI - University of Melbourne, Melbourne, Australia Duration: 3 Jun 2026 → 3 Jun 2026 https://melbourne-cshe.unimelb.edu.au/events/symposia-on-higher-education-research-informed-practice/cognitive-offloading-and-the-future-of-learning#abstracts

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Designing extended reality learning scenarios with generative artificial intelligence without losing the learningFinal published version, 256 KBLicence: CC BY-NC-ND

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abstract = "Generative artificial intelligence is changing how educators design learning activities, but faster content generation does not guarantee better learning. This presentation introduces the Prompt to Practice Extended Reality Learning Design Framework, a pedagogy led model for using generative artificial intelligence and vibe coding to design immersive simulation scenarios. The framework begins with the learning problem, uses structured prompting to externalise scenario logic, translates that logic across extended reality platforms, and evaluates learner judgement through design-based research cycles. It argues that generative artificial intelligence should support, rather than replace, educator judgement by making learning design visible, testable and transferable.",

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Designing extended reality learning scenarios with generative artificial intelligence without losing the learning

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