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physics.ed-ph2024★ 20 cited
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…
physics.ed-ph2024★ 2 cited
Grading Assistance for a Handwritten Thermodynamics Exam using Artificial Intelligence: An Exploratory Study
Gerd Kortemeyer, Julian Nöhl, Daria Onishchuk
Using a high-stakes thermodynamics exam as sample (252~students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten stu…