output
20092026
most citedFeedback-Generation for Programming Exercises With GPT-4

54 citations

46 papers

cs.HC2026

CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling

Philipp Steigerwald, Nico Bienlein, Jennifer Burghardt +3

Rising global demand for mental health support creates significant service delivery challenges, with asynchronous email counselling serving as a crucial low-threshold channel for a…

cs.CV2026

Learning to Detect Baked Goods with Limited Supervision

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Monitoring leftover products provides valuable insights that can be used to optimize future production. This is especially important for German bakeries because freshly baked goods…

cs.RO2025★ 2 cited

Dynamic-ICP: Doppler-Aware Iterative Closest Point Registration for Dynamic Scenes

Dong Wang, Daniel Casado Herraez, Stefan May +1

Reliable odometry in highly dynamic environments remains challenging when it relies on ICP-based registration: ICP assumes near-static scenes and degrades in repetitive or low-text…

cs.CY2025★ 2 cited

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study

Sven Jacobs, Jan Haas, Natalie Kiesler

How students utilize immediate tutoring feedback in programming education depends on various factors. Among them are the feedback quality, but also students' engagement, i.e., thei…

cs.CY2025★ 3 cited

GenAI Voice Mode in Programming Education

Sven Jacobs, Natalie Kiesler

Real-time voice interfaces using multimodal Generative AI (GenAI) can potentially address the accessibility needs of novice programmers with disabilities (e.g., related to vision).…

cs.CY2025★ 5 cited

That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai

Sven Jacobs, Maurice Kempf, Natalie Kiesler

The potential of Generative AI (GenAI) for generating feedback in computing education has been the subject of numerous studies. However, there is still limited research on how comp…