6 citations · 6 across the 2 of their papers we have counts for
5 papers
Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam
Gerd Kortemeyer, Alexander Caspar, Daria Horica
We investigate whether contemporary multimodal LLMs can assist with grading open-ended calculus at scale without eroding validity. In a large first-year exam, students' handwritten…
The Boiling-Frog Problem of Physics Education
Gerd Kortemeyer
It is astonishing how rapidly general-purpose AI has crossed familiar thresholds in introductory physics. Comparing outputs from successive models, GPT-5 Thinking moves far beyond…
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer
Large language models (LLMs) can now generate physics practice problems in real time, yet the educational value of these items hinges on rapid, reliable post-generation vetting. In…
Assessing Confidence in AI-Assisted Grading of Physics Exams through Psychometrics: An Exploratory Study
Gerd Kortemeyer, Julian Nöhl
This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly Item Response Theory…
AI-assisted Automated Short Answer Grading of Handwritten University Level Mathematics Exams
Tianyi Liu, Julia Chatain, Laura Kobel-Keller +3
Effective and timely feedback in educational assessments is essential but labor-intensive, especially for complex tasks. Recent developments in automated feedback systems, ranging…