Research on Steganography Course with Large Language Model ChatGPT Assisted Learning


연구 분야: Strategies



학회: ICAIE '24: Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education


초록

In this study, by integrating practice-oriented teaching methods and combining large language models to assist learning and teaching situations, it is proposed that the Steganography course is practical-oriented and integrates ChatGPT with the Steganography language model teaching and teaching established by the applicant. In addition to focusing In addition to cultivating students with Steganography concepts and practical operational abilities, we hope to cultivate students' abilities of active observation, independent research, and critical thinking so that students can meet the technology industry's professional skills and requirements for Steganography studies. This research explores the pre-test and post-test, of course, students' use of large language models to learn to have higher learning attitudes and achievements towards Steganography theory and practice.


Author Profile
Min Shiang Hwang

Dept. of C.S. and Info. Eng. Asia University Taichung Taiwan Taiwan mshwang@nchu.edu.tw

Andorra
Author Profile
Kanza Fatima

Dept. of C.S. and Info. Eng. Asia University Taichung Taiwan China Fatimakanza@outlook.com

Andorra
Author Profile
Chi Shiang Chan

Department of M-Commerce and Multimedia Applications Asia University Taichung Taiwan Taiwan CSChan@asia.edu.tw

Andorra

📄 논문 정보

발행 연도 2025년
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출판 국가 Andorra
사이트 ACM
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