ChatGPT for Educational Purposes: Investigating the Impact of Knowledge Management Factors on Student Satisfaction and Continuous Usage
计算机科学
知识管理
作者
Thi Thuy An Ngo,Thanh Tu Tran,Gia Khuong An,Phuong Thy Nguyen
出处
期刊:IEEE Transactions on Learning Technologies [Institute of Electrical and Electronics Engineers] 日期:2024-01-01卷期号:17: 1367-1378被引量:7
标识
DOI:10.1109/tlt.2024.3383773
摘要
The growing prevalence of advanced generative AI chatbots, such as ChatGPT, in the educational sector has raised considerable interest in understanding their impact on student knowledge and exploring effective and sustainable implementation strategies. This research investigates the influence of knowledge management factors on the continuous usage of ChatGPT for educational purposes while concurrently evaluating student satisfaction with its use in learning. Using a quantitative approach, a structured questionnaire was administered to 513 Vietnamese university students via Google Forms for data collection. Partial least squares structural equation modeling (PLS-SEM) statistical technique was employed to examine the relationships between identified factors and evaluate the research model. The results provided strong support for several hypotheses, revealing significant positive effects of expectation confirmation on perceived usefulness and satisfaction, as well as perceived usefulness on user satisfaction and continuous usage of ChatGPT. These findings suggest that when students recognize the usefulness of ChatGPT for their learnings, they experience higher satisfaction and are more likely to continue using it. Additionally, knowledge acquisition significantly impacts both satisfaction and continuous usage of ChatGPT, while knowledge sharing and application influence satisfaction exclusively. This indicates that students prioritize knowledge acquisition over sharing and applying knowledge through ChatGPT. The study has theoretical and practical implications for ChatGPT developers, educators, and future research. Theoretically, it contributes to understanding satisfaction and continuous usage in educational settings, utilizing the Expectation-Confirmation Model and integrating knowledge management factors. Practically, it provides insights comprehension and suggestions for enhancing user satisfaction and continuous usage of ChatGPT in education.