HEXED Workshop
1st HEXED (The 1st Human-Centric eXplainable AI in Education) Workshop

The HEXED (Human-Centric eXplainable AI in Education) Workshop was held in conjunction with EDM (Educational Data Mining) 2024. The workshop aimed to bring together a specialized community of researchers who can work together to (1) develop a shared vision and common vocabulary for XAI in education, (2) share and disseminate work, (3) create robust methods for increasing interpretability, and (4) develop evaluation metrics for assessing explanations and model interpretability. We planned to achieve this through lively debate and discussion surrounding the current and future needs of the community.

The workshop was held on 14 July 2024 in Atlanta, Georgia, USA. This is a full-day hybrid workshop and will feature a mix of poster presentations, a lively panel discussion, and interactive sessions to facilitate collaboration.

Proceedings

The official joint proceedings (with the L3MNGET Workshop) can be found at CEUR-WS here.

Schedule

The workshop was held from 9:00am to 5:00pm.

The HEXED Workshop was held on Sunday, 14 July 2024 9:00AM–5:00PM UTC-4 (US-East). The schedule was as follows:

9:00–9:30amWelcome and logistics
9:30–10:30amPoster session (+ lightning presentations)
10:30–11:00amBreak + networking
11:00am–12:00pmWorking session 1: Small group brainstorming
12:00–1:00pmLunch break
1:00–2:00pmKeynote presentation: Personalized XAI (Cristina Conati)
2:00–2:45pmWorking session 2: Framing problems and needs
2:45–3:30pmPanel
3:30–4:00pmBreak + networking
4:00–4:45pmWorking session 3: Creating a shared vision
4:45–5:00pmClosing thoughts

Accepted papers

The official joint proceedings (with the L3MNGET Workshop) can be found at CEUR-WS here.

Research papers

  • The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods [paper @ CEUR-WS]
    Mustafa Cavus and Jakub Kuzilek
  • Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks [paper @ CEUR-WS]
    Yuang Wei, Yizhou Zhou, Yuan-Hao Jiang and Bo Jiang
  • Combining Cognitive and Generative AI for Self-Explanation in Interactive AI Agents [paper @ CEUR-WS]
    Shalini Sushri, Rahul Dass, Rhea Basappa, Hong Lu and Ashok Goel

Position papers

  • Towards a Unified Framework for Evaluating Explanations [paper @ CEUR-WS]
    Juan Pinto and Luc Paquette

Encore papers

  • Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning [paper @ EDM proceedings]
    Tianyuan Yang, Baofeng Ren, Boxuan Ma, Md Akib Zabed Khan, Tianjia He and Shin’Ichi Konomi
  • How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? [paper @ EDM proceedings]
    Subhankar Maity, Aniket Deroy and Sudeshna Sarkar
  • Easing the Prediction of Student Dropout for everyone by integrating AutoML and Explainable Artificial Intelligence [paper @ EDM proceedings]
    Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo and Cristóbal Romero
  • Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs [paper @ EDM proceedings]
    Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras and Tanja Käser

Registration

The registration was managed by the EDM 2024 main conference organization at https://educationaldatamining.org/edm2024/. Registration is now closed.

Organizers

The workshop organizers are listed below. Click here to learn more about them or to see the full program committee.