Research interests
- Causal knowledge tracing
- Off-policy estimation
- Recommender systems for education
Publications
Minn, Sein, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, and Feida Zhu. 2022. “Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations.” In Proceedings of the AAAI Conference on Artificial Intelligence, 36:12810–18. 11. https://doi.org/10.1609/aaai.v36i11.21560.
Vie, Jill-Jênn, Tomas Rigaux, and Sein Minn. 2022. “Privacy-Preserving Synthetic Educational Data Generation.” In Proceedings of EC-TEL 2022. Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 393–406. https://hal.science/hal-03715416.
Vie, Jill-Jênn, Tomas Rigaux, and Hisashi Kashima. 2022. “Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems.” In Proceedings of IEEE BigData 2022, 5607–5614. https://jiji.cat/bigdata/vie2022vfm.pdf.
Vie, Jill-Jênn, and Hisashi Kashima. 2023. “Deep Knowledge Tracing Is an Implicit Dynamic Multidimensional Item Response Theory Model.” In Proceedings of the 31st International Conference on Computers in Education, in press. https://inria.hal.science/hal-04180391.
Seminars
| Speaker | Date | Place | Title |
|---|---|---|---|
| Jill-Jênn Vie | December 15, 2023 | ICCE 2023 @ Matsue | Deep Knowledge Tracing Is an Implicit Dynamic Multidimensional Item Response Theory Model |
| Jill-Jênn Vie | August 29, 2023 | Online seminar | Causal inference and reinforcement learning in education |
| Jill-Jênn Vie | December 20, 2022 | IEEE BigData 2022 @ Osaka | Variational factorization machines for preference elicitation in large-scale recommender systems |
| Jill-Jênn Vie | December 12, 2022 | Seminar in Kyoto University | Modeling uncertainty for policy learning in education |
| Koh Takeuchi | October 24, 2022 | Seminar in Inria Saclay | Guidance effect estimation on crowd movement by counterfactual regression |
| Tomas Rigaux | September 15, 2022 | EC-TEL 2022 @ Toulouse | Privacy-Preserving Synthetic Educational Data Generation |
| Jill-Jênn Vie | September 6, 2022 | Online seminar | Privacy-Preserving Synthetic Educational Data Generation |
| Sein Minn | February 27, 2022 | EAAI 2022 @ Vancouver (online) | Interpretable Knowledge Tracing |
| Sein Minn | December 15, 2021 | Inria Saclay | Knowledge Assessment in Adaptive Learning Environments |
| Sein Minn | November 9, 2021 | Sorbonne Université, MOCAH | Knowledge Assessment in Adaptive Learning Environments |
| Bénédicte Colnet | April 1, 2021 | Inria Saclay | Causal inference methods for combining randomized controlled trials and observational studies |
Datasets
- Duolingo
- Mnemosyne
- ASSISTments
- PLSC DataShop
- Adaptive Learning group at Masaryk University
- EdNet dataset
Members
- Jill-Jênn Vie, SODA, Inria Saclay, research scientist
- Koh Takeuchi, Kyoto University, senior lecturer
- Hisashi Kashima, Kyoto University, full professor
- Gaël Varoquaux, SODA, Inria Saclay, director of research
- Tomas Rigaux, SODA, research engineer at Inria Saclay → PhD student at Kyoto University
- Samuel Girard, SODA, Inria Saclay, PhD student
Former members
- Sein Minn, SCOOL, Inria Lille, postdoctoral researcher
- Bénédicte Colnet, SODA, Inria Saclay, PhD student (graduated 2023)