Work

Research on Steganography Course with Large Language Model ChatGPT Assisted Learning

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.1145/3722237.3722310

Authors: Min-Shiang Hwang, Kanza Fatima, Chi-Shiang Chan, Chia-Chun Wu

Institutions: Asia University, National Quemoy University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Funder: National Science and Technology Council

Award: G7489393043