首页|Dokuz Eylul University Researcher Details Findings in Artificial Intelligence (I nvestigation of nurses’ general attitudes toward artificial intelligence and the ir perceptions of ChatGPT usage and influencing factors)
Dokuz Eylul University Researcher Details Findings in Artificial Intelligence (I nvestigation of nurses’ general attitudes toward artificial intelligence and the ir perceptions of ChatGPT usage and influencing factors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Dokuz Eylul University by NewsRx correspondents, research stated, “This study aimed to investigate pro fessional nurses’ general attitudes toward artificial intelligence, their knowle dge and perceptions of ChatGPT usage, and the influencing factors. The populatio n of the research consists of nurses who follow a social media platform account in Turkey.” The news reporters obtained a quote from the research from Dokuz Eylul Universit y: “The sample of the study consisted of 288 nurses who participated in the stud y between December 2023 and March 2024. Data were collected through an account o n a social media platform via Google Forms using the Information Identification Questionnaire for ChatGPT and Artificial Intelligence Programs and the General A ttitudes to Artificial Intelligence Scale (GAAIS). The mean scores obtained from the overall GAAIS and its Positive Attitudes subscale from the participants in this study were 67.54 ± 13.14 and 41.89 ± 11.24, respectively. Of the participan ts, 48.3% knew about ChatGPT and artificial intelligence programs. Of the participants, 27.8% used ChatGPT and artificial intelligen ce programs. Their scores for the Positive Attitude subscale were higher than we re the scores of those who did not use such programs. Of the participants, 84.4% thought that nurses should be made aware of ChatGPT and artificial intelligence programs, 67% thought that the use of these programs would contrib ute to nurses’ professional development, 42.4% thought that the us e of these programs would not reduce nurses’ workload, and 58.3% t hought that the use of these programs would positively affect patient care.”
Dokuz Eylul UniversityArtificial Intel ligenceEmerging TechnologiesMachine Learning
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