JELAI - Integrating AI and Learning Analytics in Jupyter Notebooks
Photo: CATALPA
AI-based educational agents can motivate learners by providing immediate feedback and support. At the same time, there is concern that learners may skip important steps in the self-regulated learning process (e.g., goal setting, instrumental help-seeking, self-reflection). JELAI addresses these risks by providing learners with targeted support in developing key learning skills while giving teachers insight into their students' learning processes.
JELAI is a modular and extensible platform that integrates learning analytics (LA) and generative AI directly into Jupyter Notebook. This creates an environment that enables context-sensitive, adaptive feedback and, at the same time, deep insights into learning processes.
JELAI...
- captures fine-grained learning activities such as code changes, error messages, and chat interactions,
- supports multi-agent systems so that multiple specialized AI agents can jointly provide analysis, feedback, and assistance,
- enables accurate and didactically meaningful support through contextual awareness.
Photo: CATALPA
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- Valle Torre, M., van der Velden, T., Specht, M., Oertel, C. (2025). JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks. In: Cristea, A.I., Walker, E., Lu, Y., Santos, O.C., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science(), vol 15882. Springer, Cham. https://doi.org/10.1007/978-3-031-98465-5_9
- Valle Torre, M., van der Velden, T., Specht, M., Oertel, C. (2025). JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks. In: Cristea, A.I., Walker, E., Lu, Y., Santos, O.C., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science(), vol 15882. Springer, Cham. https://doi.org/10.1007/978-3-031-98465-5_9
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- Manuel Valle Torre
- Thom van der Velden
- Marcus Specht
- Catharine Oertel
CATALPA
| 25.11.2025
