3 papers
cs.AI2025
Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
Kathrin SeÃler, Arne Bewersdorff, Claudia Nerdel +1
Effective feedback is essential for fostering students' success in scientific inquiry. With advancements in artificial intelligence, large language models (LLMs) offer new possibil…
cs.CL2024
Benchmarking Large Language Models for Math Reasoning Tasks
Kathrin SeÃler, Yao Rong, Emek Gözlüklü +1
The use of Large Language Models (LLMs) in mathematical reasoning has become a cornerstone of related research, demonstrating the intelligence of these models and enabling potentia…
cs.CL2024
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
Kathrin SeÃler, Maurice Fürstenberg, Babette Bühler +1
The manual assessment and grading of student writing is a time-consuming yet critical task for teachers. Recent developments in generative AI, such as large language models, offer…