Schedule
The HEXED Workshop will be held on Sunday, 20 July 2025 9:00AM–4:45PM UTC+2 (CET).
Zoom room for online participants
The schedule is as follows:
| 09:00–09:30am | Welcome and opening remarks |
| 09:30–10:00am | Invited keynote talk: Giora Alexandron |
| 10:00–10:30am | Working session 1: Framing problems and needs |
| 10:30–11:00am | Coffee break |
| 11:00–12:15pm | Poster Session + lightning talks |
| 12:15-01:00pm | Panel debate: XAI in the age of LLMs |
| 01:00–02:10pm | Lunch break |
| 02:10-02:15pm | Lightning Overview: XAI-ED workshop |
| 02:15–02:45pm | Working session 2: Breakout group brainstorming |
| 02:45-03:30pm | Invited keynote talk: Przemysław Biecek (online) |
| 03:30–04:00pm | Coffee break |
| 04:00–04:30pm | Working session 3: Creating a shared vision |
| 04:30–04:45pm | Closing thoughts |
* subject to change
Accepted papers
Research papers
- Explainable Survival Student Dropout Prediction Models: A Case Study on Open University Learning Analytics Dataset [paper]
Mustafa Cavus and Jakub Kuzilek - Human-grounded XAI: An evaluation of explanation faithfulness and intelligibility for interpretable neural networks [paper]
Juan Pinto and Luc Paquette - Human Experts vs. LLMs: Who Is Better at Explaining Student Clustering? [paper]
Elad Yacobson, Shelley Rap, Ron Blonder and Giora Alexandron - RegKT: Interpretable and robust Deep Knowledge Tracing with IRT-regularizer [paper]
Samuel Girard, Juan Pinto, Jill-Jênn Vie and Amel Bouzeghoub
Encore papers
- Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations [paper @ EDM proceedings]
Jiawei Li, Qianru Lyu, Wei Qiu and Andy W. H. Khong - A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors [paper @ EDM proceedings]
Juan D. Pinto & Luc Paquette