Artificial intelligence tools utilized in nursing education: Incidence and associated factors

Abstract

BackgroundArtificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to reframe the nursing education process. ObjectiveThis study aimed to determine the factors that affect the usefulness and sustainability of artificial intelligence tools used in nursing education. DesignA descriptive cross-sectional study was conducted among. Three models, including the Technological Acceptance Model (TAM), the Information System Success Model (ISSM), and the Online Learning Self-Efficacy (OLSE), were used. ParticipantAll of fourth- year undergraduate nursing students who were enrolled in nursing department regularly (N = 420), and who respond (n = 204). SettingIn the nursing department of the health professions faculty at AL-Quds University, in Palestine. ResultsAmong the 204 students who responded, 9.80 % employed simulation, 5.40 % utilized virtual reality, 19.10 % used Chat GPT, 42.20 % used mobile applications, and 23.50 % utilized PowerPoint AI as part of their learning process. The mean and standard deviation (SD) were computed for key parameters related to the information system success model (AI) (ISSM) (M = 4.52, SD = 1.17). Technology Acceptance Model (TAM) (M = 4.61, SD = 1.16). Online Learning Self-Efficacy (OLSE) (M = 4.55, SD = 1.28). ConclusionThere is a need to adapt teaching strategies and integrate AI tools as useful learning tools, which have become essential for students to complete their learning activities through enhancing knowledge of the multimodal technological factors that should be taken into consideration while creating AI tools across several domains for universities and developers.