Presentation Schedule
Empowering Teachers with AI-Driven 3D Model Generation for Augmented Reality in Education (103900)
Session Chair: Frederick Inoncillo
This presentation will be live-streamed via Zoom (Online Access)
Monday, 20 April 2026 21:05
Session: Session 2
Room: Live-Stream Room 2
Presentation Type: Live-Stream Presentation
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The integration of Augmented Reality (AR) and Artificial Intelligence (AI) continues to demonstrate strong potential for enhancing student engagement through interactive 3D content. Yet teacher adoption remains limited due to persistent barriers in 3D model creation, technical complexity, and gaps in digital readiness. A review of 20 peer-reviewed studies confirmed these challenges and highlighted the need for tools that align with pedagogical, technological, and content considerations. Grounded in the TPACK framework, we designed Edu3D Builder, an AI-assisted authoring tool that enables teachers to generate AR-ready 3D models using simple text or image prompts. Unlike existing AR creation platforms, Edu3D Builder introduces automated scaling, instant AR-mode preview, and a classroom-oriented workflow aimed at reducing preparation time and minimizing technical demands.
To evaluate early usability, we conducted a pilot study within our research group (n = 5) using task-based protocols, screen-recorded interactions, and short semi-structured interviews. Participants were able to generate functional 3D models in seconds and reported a substantial reduction in perceived complexity compared to traditional modelling tools. These preliminary findings suggest that AI-driven 3D generation may significantly support teacher readiness and lower entry barriers for AR-enhanced instruction. Future work includes structured professional-development sessions with teachers followed by classroom-based evaluations to empirically assess the tool’s pedagogical effectiveness, impact on student learning outcomes, integration feasibility within real teaching workflows, and its long-term adoption potential.
Authors:
Malek El Kouzi, Queen's University, Canada
Omar Bani-Taha, Carleton University, Canada
About the Presenter(s)
Malek El Kouzi, Ph.D. Candidate in Education at Queen’s University. Interested in educational technology, AR, and AI in learning. His thesis investigates how teachers co-design AR tools to enhance STEM learning and classroom engagement.
Connect on Linkedin
https://www.linkedin.com/in/malek-el-kouzi-16631939/
See this presentation on the full schedule – Monday Schedule





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