Hands-on analysis of using large language models for the auto evaluation of programming assignments
The increasing adoption of programming education necessitates efficient and accurate methods for evaluating students’ coding assignments. Traditional manual grading is time-consuming, often inconsistent, and prone to subjective biases. This paper explores the application of large language models (LL...
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| Published in: | Information systems (Oxford) Vol. 128; p. 102473 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.02.2025
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| Subjects: | |
| ISSN: | 0306-4379 |
| Online Access: | Get full text |
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