Learning satisfaction on the use of chatgpt among nursing students in selected higher education institutions in Sulu

Abstract

This study determined the levels of learning satisfaction of nursing students in selected higher education institutions (HEIs) in Sulu with the use of Chat Generative Pre-Trained Transformer (ChatGPT) during the academic year 2023-2024. Quota sampling (n=100) was used to sample the students from five different HEIs in Sulu each of them had equal 20 participants selected. An adapted five-point Likert-scale was used to elicit the responses from the participants. Findings indicated that the nursing students were highly satisfied on the usefulness and ease of use of ChatGPT in learning while moderately satisfied on its credibility, social influence, and privacy and security. Further analysis was conducted on the differences of satisfaction level of nursing students based on their demographic profile (i.e., age, sex, and year level). Inferential analysis indicated that somehow, the satisfaction levels of nursing students in terms of their age, sex, and year level were relatively equal. However, female students significantly differed their level of satisfaction compared to male in terms of the usefulness of ChatGPT in learning. These findings emphasized the importance of considering gender-specific factors, as well as maintaining a proactive approach to technology integration and evaluation in nursing education. By addressing these, educators can optimize the use of ChatGPT as a valuable tool for enhancing learning outcomes and student satisfaction in nursing programs.