Assessing AI detectors in identifying AI-generated code: Implications for education

Assessing AI detectors in identifying AI-generated code: Implications for education

Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content (AIGC) Detectors for academic misconduct.In this paper, we pr...

Full description

Saved in:
Bibliographic Details
Main Authors: PAN, Wei Hung, CHOK, Ming Jie, WONG, Jonathan Leong Shan, SHIN, Yung Xin, POON, Yeong Shian, YANG, Zhou, CHONG, Chun Yong, David LO, LIM, Mei Kuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Software Engineering Education
AI-Generated Code
AI-Generated Code Detection
Artificial Intelligence and Robotics
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9244
https://ink.library.smu.edu.sg/context/sis_research/article/10244/viewcontent/3639474.3640068.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/9244
https://ink.library.smu.edu.sg/context/sis_research/article/10244/viewcontent/3639474.3640068.pdf

Similar Items