13:30h - 18:00h
13:30 - 14:30
Welcome and introductions.
Overview of workshop objectives and agenda.
Presentation on the principles and importance of explainable AI in education.
Interactive discussion on the challenges and opportunities of integrating XAI in TEL and EdTech.
14:30 - 15:25
Introduction to design principles for building explainable AI systems in education.
Group-work, in which participants explore, analyze, and discuss potential requirements and solutions for use cases spanning different learning domains.
Hands-on activity: Introducing and testing a platform for creating experimental XAI learning experience.
Break 15:25 - 15:45
15:45 - 16:40
Group work: Participants work in small groups to design XAI solutions for the previous learning use cases.
Facilitated discussion and feedback on proposed XAI designs.
Group presentations to share key insights and findings from use case analysis.
16:40 - 17:30
Presentation on ethical considerations in the deployment of XAI in education.
Group discussion on ethical dilemmas and best practices for ensuring fairness, transparency, and accountability in XAI systems.
Reflection on future directions and research opportunities in the field of XAI in TEL and EdTech.
17:30 - 18:00
Recap of key insights and takeaways from the workshop.
Opportunities for participants to network, exchange contact information, and form collaborations.
Closing remarks and acknowledgments.