3 papers
stat.OT2025
Beyond Correctness: Evaluating and Improving LLM Feedback in Statistical Education
Niklas Ippisch, Markus Herklotz, Anna-Carolina Haensch +1
Large language models (LLMs) have been proposed as scalable tools to address the gap between the importance of individualized written feedback and the practical challenges of provi…
stat.OT2025
Can we trust LLMs as a tutor for our students? Evaluating the Quality of LLM-generated Feedback in Statistics Exams
Markus Herklotz, Niklas Ippisch, Anna-Carolina Haensch
One of the central challenges for instructors is offering meaningful individual feedback, especially in large courses. Faced with limited time and resources, educators are often fo…
cs.SE2024
Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
Niklas Ippisch, Anna-Carolina Haensch, Jan Simson +3
Despite the growing use of large language models (LLMs) for providing feedback, limited research has explored how to achieve high-quality feedback. This case study introduces an ev…