Assisting quality assurance of examination tasks: Using a GPT model and Bayesian testing for formative assessment
Formative quality assurance in the creation of examination tasks has always been an extremely time-consuming process. Especially due to the changing and short-lived content of computer science, new questions have to be created regularly, which in turn requires quality assurance. With the emergence o...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Computers and Education: Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24001462 |
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