Research on Steganography Course with Large Language Model ChatGPT Assisted Learning
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.
Authors
- Min‐Shiang Hwang (ORCID: https://orcid.org/0000-0001-5502-8033)
- Chia‐Chun Wu (ORCID: https://orcid.org/0000-0001-9576-561X)
- Chi‐Shiang Chan (ORCID: https://orcid.org/0000-0001-7324-8320)
- Kanza Fatima
Institutions
- Asia University (TW)
- National Quemoy University (TW)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1145/3722237.3722310
- Primary Topic
- Ideological and Political Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00