Design of automated model for inspecting and evaluating handwritten answer scripts: A pedagogical approach with NLP and deep learning
We address common challenges examiners face, such as accidental question skipping, marking omissions, and potential bias in assessment. These issues often arise due to the necessity of examining scripts in separate sessions, driven by the high volume of examination materials. In response, we propose...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824009530 |
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