Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment-Reference-Cited by-同舟云学术

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Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment

Published:2024 Issue: Volume: Page:520-531
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Toba Hapnes,Karnalim Oscar,Johan Meliana Christianti,Tada Terutoshi,Djajalaksana Yenni Merlin,Vivaldy Tristan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51979-6_54

Reference27 articles.

1. Simon, Cook, B., Sheard, J., Carbone, A., Johnson, C.: Academic integrity: differences between computing assessments and essays. In: Proceedings of the 13th Koli Calling International Conference on Computing Education Research, pp. 23–32. Association for Computing Machinery, New York, NY (2013). https://doi.org/10.1145/2526968.2526971

2. Fraser, R.: Collaboration, collusion and plagiarism in computer science coursework. Inform. Educ. 13, 179–195 (2014). https://doi.org/10.15388/infedu.2014.10

3. Pangestu, M.A., Simon: Work in progress: an automated management system for references in programming code. In: 2021 IEEE Global Engineering Education Conference (EDUCON), pp. 1301–1305 (2021). https://doi.org/10.1109/EDUCON46332.2021.9454112

4. Albluwi, I.: Plagiarism in programming assessments: a systematic review. ACM Trans. Comput. Educ. 20, 6:1–6:28 (2019). https://doi.org/10.1145/3371156

5. Spacco, J., Fossati, D., Stamper, J., Rivers, K.: Towards improving programming habits to create better computer science course outcomes. In: Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education, pp. 243–248. Association for Computing Machinery, New York, NY (2013). https://doi.org/10.1145/2462476.2465594

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perspective of AI Chatbots in K-12 Education;2024 IEEE International Conference on Advanced Learning Technologies (ICALT);2024-07-01

2. Detecting AI assisted submissions in introductory programming via code anomaly;Education and Information Technologies;2024-02-16

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