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content/_index.md

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<div class="color-block content-margin" style="border: 2px solid #3c763d;" >
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<p>Thank you to all participants, presenters, and attendees for making HEXED 2024 a success! We look forward to seeing you at future events. If you'd like to be added to our mailing list, please <a href="mailto:[email protected]">email Juan Pinto</a>.</p>
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The **HEXED (Human-Centric eXplainable AI in Education) Workshop** was held in conjunction with [EDM (Educational Data Mining) 2024](https://educationaldatamining.org/edm2024/). 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.
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<a href="https://tinyurl.com/hexed2024" target="_blank">Resources working doc</a>
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</div>
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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.
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The **HEXED (Human-Centric eXplainable AI in Education) Workshop** was held in conjunction with [EDM (Educational Data Mining) 2024](https://educationaldatamining.org/edm2024/). 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.
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## Proceedings
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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.
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The official joint proceedings (with the [L3MNGET Workshop](https://sites.google.com/view/llmworkshopedm/home)) can be found at [CEUR-WS here](https://ceur-ws.org/Vol-3840/).
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## Schedule
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## Registration
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The registration was managed by the EDM 2024 main conference organization at <https://educationaldatamining.org/edm2024/>. To register, click the blue "Register now!" button on their homepage.
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The registration was managed by the EDM 2024 main conference organization at <https://educationaldatamining.org/edm2024/>. Registration is now closed.
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## Organizers

content/schedule.md

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<div class="color-block content-margin" style="border: 2px solid #3c763d;" >
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<p>Thank you to all participants, presenters, and attendees for making HEXED 2024 a success! We look forward to seeing you at future events. If you'd like to be added to our mailing list, please <a href="mailto:[email protected]">email Juan Pinto</a>.</p>
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<a href="https://tinyurl.com/hexed2024" target="_blank">Resources working doc</a>
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</div>
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# Schedule
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- <a href="https://tinyurl.com/hexed2024" target="_blank">Resources working doc</a>
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The HEXED Workshop was held on **Sunday, 14 July 2024 9:00AM–5:00PM UTC-4 (US-East)**. The schedule was as follows:
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## Accepted papers
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The official joint proceedings (with the [L3MNGET Workshop](https://sites.google.com/view/llmworkshopedm/home)) can be found at [CEUR-WS here](https://ceur-ws.org/Vol-3840/).
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### Research papers
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- **The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods** [<a href="/papers/HEXED_2024_paper_5.pdf" target="_blank">paper</a>]\
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- **The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods** [<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper1.pdf" target="_blank">paper @ CEUR-WS</a>]\
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*Mustafa Cavus and Jakub Kuzilek*
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- **Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks** [<a href="/papers/HEXED_2024_paper_7.pdf" target="_blank">paper</a>]\
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- **Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks** [<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper2.pdf" target="_blank">paper @ CEUR-WS</a>]\
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*Yuang Wei, Yizhou Zhou, Yuan-Hao Jiang and Bo Jiang*
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- **Combining Cognitive and Generative AI for Self-Explanation in Interactive AI Agents** [<a href="/papers/HEXED_2024_paper_10.pdf" target="_blank">paper</a>]\
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- **Combining Cognitive and Generative AI for Self-Explanation in Interactive AI Agents** [<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper3.pdf" target="_blank">paper @ CEUR-WS</a>]\
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*Shalini Sushri, Rahul Dass, Rhea Basappa, Hong Lu and Ashok Goel*
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### Position papers
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- **Towards a Unified Framework for Evaluating Explanations** [<a href="/papers/HEXED_2024_paper_8.pdf" target="_blank">paper</a>]\
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- **Towards a Unified Framework for Evaluating Explanations** [<a href="https://ceur-ws.org/Vol-3840/HEXED24_paper4.pdf" target="_blank">paper @ CEUR-WS</a>]\
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*Juan Pinto and Luc Paquette*
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hugo.toml

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[[menu.navbar]]
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identifier = "proceedings"
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name = "Proceedings"
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url = "https://ceur-ws.org/Vol-3840/"
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weight = 5
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[[menu.navbar]]
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identifier = "people"
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name = "People"
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url = "/people/"
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