Preventing Early School Leaving: ESL-PREDIN Pilot Testing – Nov 10 (10:00)

Explore educational data on early school leaving and discover AI’s potential to help educators identify dropout risks and support prevention

How can AI support efforts to prevent early school leaving? Join us for a hands-on exploration of ESL-PREDIN, a prototype developed within the Erasmus+ stAI project (Act Before it Happens: Preventing and Fighting Early Leaving in Education and Training with AI).

During this pilot testing session, you will have the opportunity to explore educational data on early school leaving and experiment with predicting dropout risk using AI. Together, we will reflect on the potential of AI to help identify patterns and support prevention efforts, as well as the limitations of the prototype and the requirements for future AI-supported educational tools.

Who should participate?

The session is intended for professionals involved in education and the prevention of early school leaving, including:

• Teachers and other educational staff
• School leaders and educational coordinators
• Education policymakers and educational policy officers
• Researchers working in education, educational data, or AI
• Professionals from educational institutions and organisations involved in preventing early school leaving

No technical or AI background is required. Your professional experience, perspectives, and reflections are what matter most.

Please note that ESL-PREDIN is an experimental prototype, not a finished system ready for immediate use in schools. The session is an opportunity to explore what AI can offer, understand its limitations, and discuss what future tools would need to better support educators and educational decision-makers.

Learn more about the stAI project: www.stai-edu.eu