- Authors: Liu Liu, Ng Sook Mun, Kaizen Low, and Ben Leong
- Published: July 2025
- Source: Proceedings of AI4X 2025 Conference, Singapore.
- Document Link: https://openreview.net/forum?id=QL7CdWpYnz
This paper presents a conceptual framework for using GenAI to simulate realistic professional workplace interactions, bridging the gap between academic instruction and practical competency-based education. By leveraging LLMs to mimic human behavior, the framework provides a cost-effective, scalable solution for immersive role-playing across various disciplines.
The Challenge: Traditional role-playing with professional actors is too costly and unscalable for large student enrollments, leaving many graduates without adequate practical skill training.
The Solution (GenAI Role-Play): Advances in LLMs allow for the simulation of complex professional scenarios, enabling students to practice domain-specific skills in a safe, repeatable, and context-rich environment.
Pedagogical Framework: The framework focuses on aligning classroom instruction with the practical demands of modern workplaces by encoding professional norms and expert reasoning into AI-driven personas.
Scalability & Accessibility: Unlike human-led simulations, AI-powered role-play can be deployed at scale, ensuring all students receive consistent training in high-stakes communication and problem-solving.
Implementation Focus: The study highlights the transition from learning “about” a domain to learning “how to act” within it, emphasizing competency-based education through immersive technology.
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