most citedJELAI: Integrating AI and Learning Analytics in Jupyter Notebooks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

New Lenses on Learning Design: Course Types and Indicators from Large-Scale Moodle Data

Ekaterina Soroka, Niels Seidel, Marcus Specht +1

Although learning design (LD) plays a central role in shaping online courses, large-scale empirical evidence on how courses are actually structured remains scarce, and existing ana…

cs.AI2026

Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming

Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas +3

Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code line-by-line. We conce…

cs.CY2026

What makes an Expert? Comparing Problem-solving Practices in Data Science Notebooks

Manuel Valle Torre, Marcus Specht, Catharine Oertel

The development of data science expertise requires tacit, process-oriented skills that are difficult to teach directly. This study addresses the resulting challenge of empirically…

cs.HC2025

LLM Chatbots in High School Programming: Exploring Behaviors and Interventions

Manuel Valle Torre, Marcus Specht, Catharine Oertel

This study uses a Design-Based Research (DBR) cycle to refine the integration of Large Language Models (LLMs) in high school programming education. The initial problem was identifi…

cs.HC2025★ 2 cited

JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks

Manuel Valle Torre, Thom van der Velden, Marcus Specht +1

Generative AI offers potential for educational support, but often lacks pedagogical grounding and awareness of the student's learning context. Furthermore, researching student inte…