Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education-Reference-Cited by-同舟云学术

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education

Published:2024-04-14 Issue: Volume:18 Page:1-11
ISSN:
Container-title:Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training
language:
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Author:

Pan Wei Hung¹^ORCID,Chok Ming Jie¹^ORCID,Wong Jonathan Leong Shan¹^ORCID,Shin Yung Xin¹^ORCID,Poon Yeong Shian¹^ORCID,Yang Zhou²^ORCID,Chong Chun Yong¹^ORCID,Lo David²^ORCID,Lim Mei Kuan³^ORCID

Affiliation:

1. School of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, Malaysia

2. School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

3. School of Information and Technology, Monash University Malaysia, Subang Jaya, Selangor, Malaysia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639474.3640068

Reference41 articles.

1. [n. d.]. GPTzero. https://gptzero.me/

2. [n. d.]. Sapling. https://sapling.ai/ai-content-detector [Online]. Available.

3. Adnan Al Medawer. [n. d.]. Textual Analysis and Detection of AI-Generated Academic Texts. ([n. d.]).

4. Fawad Ali. 2023. GPT-1 to GPT-4: Each of OpenAI's GPT Models Explained and Compared. (11 April 2023). https://www.makeuseof.com/gpt-models-explained-and-compared/

5. Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

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