# Scenario-Based Learning Through and with AI: Evidence-Informed Simulations for Education Leaders

Ella Hamonic, Candy Lugaz, Annina Demirag, Rémi Sharrock, Agustina Thailinger, Maria Victoria Picchio, Vinitra Swamy, Paola Mejia-Domenzain
2026 · Communications in Computer and Information Science

## Abstract

This workshop explores how generative AI can strengthen scenario-based learning for the professional development of school and district leaders. Building on IIEP-UNESCO’s work in online and blended learning and Télécom Paris’ expertise in AI-supported learning, we present an approach in which AI not only helps generate context-aware scenarios, but also delivers simulations, prompts reflection, and provides evidence-informed feedback during leadership practice. Participants will experience how AI can place leaders in realistic school situations, invite them to analyse challenges, take decisions, justify their reasoning, and receive coaching-style feedback informed by literature on school leadership, educational planning and management. The workshop also introduces an AI literacy strand for school and district leaders, focused on responsible use, critical judgement, ethics, and leadership for AI integration in education systems. Participants will examine design principles, test simulation formats, and co-design scenarios for leadership learning.

## Links
- DOI: https://doi.org/10.1007/978-3-032-29794-5_24
- HTML: https://paola-md.github.io/papers/scenario-based-learning-through-and-with-ai-evidence-informed-simulation.html
- Cite: https://paola-md.github.io/publications.bib

Part of the publication record of Paola Mejia-Domenzain, https://paola-md.github.io/