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1 | 1 | # Schedule |
2 | 2 |
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3 | | -The HEXED Workshop will be held on **Sunday, 20 July 2025 9:00AM–4:45PM UTC+2 (CET)**. |
| 3 | +The HEXED Workshop will be held on **Sunday, 20 July 2025 9:00AM–4:45PM UTC+2 (CET)**. |
4 | 4 |
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5 | 5 | **<a href="https://epfl.zoom.us/j/67482001281" target="_blank">Zoom room for online participants</a>** |
6 | 6 |
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@@ -36,19 +36,21 @@ The schedule is as follows: |
36 | 36 |
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37 | 37 | ### Research papers |
38 | 38 |
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39 | | -- **Explainable Survival Student Dropout Prediction Models: A Case Study on Open University Learning Analytics Dataset** <!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper1.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
| 39 | +- **Explainable Survival Student Dropout Prediction Models: A Case Study on Open University Learning Analytics Dataset** [<a href="https://drive.google.com/file/d/15-LwZhqxKvsxhDncqyKjdNqKzLysFZNj/view?usp=sharing" target="_blank">paper</a>] <!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper1.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
40 | 40 | *Mustafa Cavus and Jakub Kuzilek* |
41 | | -- **Human-grounded XAI: An evaluation of explanation faithfulness and intelligibility for interpretable neural networks** <!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper2.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
| 41 | +- **Human-grounded XAI: An evaluation of explanation faithfulness and intelligibility for interpretable neural networks** [<a href="https://drive.google.com/file/d/1DdwI70b_2qqONDUgfvNxRYu1kIWWkPiv/view?usp=sharing" target="_blank">paper</a>]<!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper2.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
42 | 42 | *Juan Pinto and Luc Paquette* |
43 | | -- **Human Experts vs. LLMs: Who Is Better at Explaining Student Clustering?** <!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper3.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
| 43 | +- **Human Experts vs. LLMs: Who Is Better at Explaining Student Clustering?** [<a href="https://drive.google.com/file/d/1DdwI70b_2qqONDUgfvNxRYu1kIWWkPiv/view?usp=sharing" target="_blank">paper</a>]<!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper3.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
44 | 44 | *Elad Yacobson, Shelley Rap, Ron Blonder and Giora Alexandron* |
45 | | -- **RegKT: Interpretable and robust Deep Knowledge Tracing with IRT-regularizer** <!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper3.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
| 45 | +- **RegKT: Interpretable and robust Deep Knowledge Tracing with IRT-regularizer** [<a href="https://drive.google.com/file/d/12IMLMyo6cZif12YwxhekrHDI_RMIh04N/view?usp=sharing" target="_blank">paper</a>]<!--[<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper3.pdf" target="_blank">paper @ CEUR-WS</a>]-->\ |
46 | 46 | *Samuel Girard, Juan Pinto, Jill-Jênn Vie and Amel Bouzeghoub* |
47 | 47 |
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48 | 48 | ### Encore papers |
49 | 49 |
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50 | | -- **Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations** <!--[<a href="https://educationaldatamining.org/edm2024/proceedings/2024.EDM-posters.69/index.html" target="_blank">paper @ EDM proceedings</a>]-->\ |
| 50 | +- **Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations** [<a href="https://educationaldatamining.org/EDM2025/proceedings/2025.EDM.long-papers.221/index.html" target="_blank">paper @ EDM proceedings</a>]\ |
51 | 51 | *Jiawei Li, Qianru Lyu, Wei Qiu and Andy W. H. Khong* |
| 52 | +- **A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors** [<a href="https://educationaldatamining.org/EDM2025/proceedings/2025.EDM.long-papers.154/index.html" target="_blank">paper @ EDM proceedings</a>]\ |
| 53 | +*Juan D. Pinto & Luc Paquette* |
52 | 54 |
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53 | 55 |
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54 | 56 | <!-- - **How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?** [<a href="https://educationaldatamining.org/edm2024/proceedings/2024.EDM-posters.70/index.html" target="_blank">paper @ EDM proceedings</a>]\ |
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