Presentation Schedule
Evolving Scenario-Based Learning (ESBL): Enhancing Leadership Competencies Through Generative AI-Driven Simulations (95802)
Session Chair: Ria Misra
Sunday, 13 July 2025 15:15
Session: Session 4
Room: UCL Torrington, G12 (Ground Floor)
Presentation Type:Oral Presentation
This study presents Evolving Scenario-Based Learning (ESBL), a pedagogical model designed to develop leadership competencies through generative AI and experiential learning. Implemented in the undergraduate course Inspirational Communication, ESBL immerses students in dynamic organizational case studies, created by AI based on predefined leadership styles and contextual variables.
In the core activity, La Clase Viva, students act as strategic advisors to the professor, who assumes the role of General Director of a simulated company. Generative AI functions as a scenario simulator, presenting realistic organizational challenges crafted from predefined leadership and contextual parameters. Once students deliberate and advise the Director on which leadership style to apply, a decision is made. The AI then generates a new scenario that directly evolves from the previous outcome, providing narrative continuity and reinforcing the learning experience. In addition to this dynamic progression, the system offers immediate feedback on the suitability and theoretical alignment of the chosen leadership approach, promoting reflective analysis and strategic refinement.
Initial results from a pilot group of 18 students demonstrated statistically significant learning gains, with scores increasing from 77.64 to 83.75 (p < 0.05), and reduced variance suggesting more consistent understanding across participants. In response to its success, the model is now being tested with two additional cohorts comprising approximately 60 students, while a control group remains to evaluate comparative outcomes. These extensions aim to assess the method’s transferability to other academic disciplines.
ESBL stands as a replicable strategy for embedding AI into educational practice and offering a foundation for cross-disciplinary adoption.
Authors:
Ramiro Guzman, Tecnológico de Monterrey, Mexico
About the Presenter(s)
Ramiro Guzmán is a Professor at Tec de Monterrey Business School, MX. His research focuses on strategy, artificial intelligence, and business education, exploring how emerging technologies can transform learning and organizational competitiveness.
Connect on Linkedin
https://www.linkedin.com/in/ramiro-guzman-jimenez/
See this presentation on the full schedule – Sunday Schedule
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