Utilizing Artificial Intelligence for Exam Grading
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Authors
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2025
Typ of student thesis
Master
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
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Olten
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Abstract
This study explores the application of AI models in grading bachelor’s and master’s level assessments, comparing their performance with traditional human grading methods. The research aims to evaluate the strengths and limitations of AI-driven grading systems, focusing on key metrics such as accuracy, efficiency, reliability, and fairness.
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English
Created during FHNW affiliation
Yes
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Review
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Citation
Bosankic, A. (2025). Utilizing Artificial Intelligence for Exam Grading [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/54836