Journal of Pediatric Health Care, Год журнала: 2024, Номер 38(6), С. 791 - 793
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of Pediatric Health Care, Год журнала: 2024, Номер 38(6), С. 791 - 793
Опубликована: Ноя. 1, 2024
Язык: Английский
Review of Education, Год журнала: 2024, Номер 12(2)
Опубликована: Авг. 1, 2024
Abstract Given the potential applications of generative AI (GenAI) in education and its rising interest research, this systematic review mapped thematic landscape 407 publications indexed Web Science, ScienceDirect Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas GenAI were extracted. Eight discursive themes identified, predominantly focused on ‘application, impact potential’, ‘ethical implication risks’, ‘perspectives experiences’, ‘institutional individual adoption’, ‘performance intelligence’. was conceptualised as a tool for ‘pedagogical enhancement’, ‘specialised training practices’, ‘writing assistance productivity’, ‘professional skills development’, an ‘interdisciplinary learning tool’. Key gaps highlighted include paucity discussions K‐12 education; limited exploration GenAI's using experimental procedures; ethical concerns from lens cultural dimensions. Promising opportunities future are highlighted.
Язык: Английский
Процитировано
18European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Янв. 31, 2025
ABSTRACT To explore the opportunities and challenges of artificial intelligence (AI) in nursing its impact. Bibliographic review using Arksey O'Malley's framework, enhanced by Levac, Colquhoun O'Brien following PRISMA guidelines, including qualitative mixed studies. MeSH terms keywords such as education ethical considerations were used databases PubMed, Scopus, Web Science, CINAHL, IEEE Xplore Google Scholar. Of all, 53 studies included, highlighting various AI integration for personalised learning, training improvement evaluation. Highlighting related to academic integrity, accuracy, data privacy security, development critical thinking skills. The offers significant advantages improving quality effectiveness education, equitable access, this reason, faculty should be geared toward education.
Язык: Английский
Процитировано
2Teaching and learning in nursing, Год журнала: 2024, Номер 19(4), С. e722 - e728
Опубликована: Авг. 2, 2024
Язык: Английский
Процитировано
9Digital Health, Год журнала: 2024, Номер 10
Опубликована: Янв. 1, 2024
Purpose This study aimed to investigate professional nurses’ general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, the influencing factors. Methods The population research consists nurses who follow a social media platform account in Turkey. sample consisted 288 participated between December 2023 March 2024. Data were collected through an on via Google Forms using Information Identification Questionnaire for Artificial Intelligence Programs General Attitudes Scale (GAAIS). Results mean scores obtained from overall GAAIS its Positive subscale participants this 67.54 ± 13.14 41.89 11.24, respectively. Of participants, 48.3% knew about intelligence programs. 27.8% used Their Attitude higher than those did not use such 84.4% thought that should be made aware programs, 67% these programs would contribute development, 42.4% reduce workload, 58.3% positively affect patient care. Conclusion In study, it can said Turkey have positive integrating AI improve outcomes add them nursing practices. Implications practice present which implementation investigated is expected provide information healthcare institutions, policy makers developers integration into practice. It necessary create environments technologies workload clinical area quality
Язык: Английский
Процитировано
4International Journal of Nursing Studies Advances, Год журнала: 2024, Номер 7, С. 100252 - 100252
Опубликована: Ноя. 1, 2024
The past decade has witnessed a surge in the development of artificial intelligence (AI)-based technology systems for healthcare. Launched November 2022, ChatGPT (Generative Pre-trained Transformer), an AI-based Chatbot, is being utilized nursing education, research and practice. However, little known about its pattern usage, which prompted this study.
Язык: Английский
Процитировано
4Digital Chemical Engineering, Год журнала: 2025, Номер unknown, С. 100225 - 100225
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Nursing Reports, Год журнала: 2025, Номер 15(3), С. 80 - 80
Опубликована: Фев. 26, 2025
Artificial intelligence (AI) can potentially enhance cognitive assessment practices in maternal and child health nursing education. Objectives: To evaluate the reliability, accuracy precision, external validity of an AI-assisted answer (4A) program for assessments Methods: This study is a validation study. Initially, 170 students from northern Thailand participated, with 52 randomly selected detailed testing. Agreement testing between 4A human experts was conducted using intraclass correlation coefficient (ICC). Accuracy precision compared scores expert via McNemar test. External involved 138 participants to compare program’s against national examination outcomes logistic regression. Results: Results indicated high level consistency (ICC = 0.886). With 0.808 0.913, expert’s 0.923 1.000. The test (χ2 0.4, p 0.527) showed no significant difference evaluation performance AI experts. Higher on significantly predicted success (OR: 1.124, 0.031). Conclusions: demonstrates potential reliably assessing students’ abilities predicting exam success. advocates continued integration educational importance refining systems better align traditional methods.
Язык: Английский
Процитировано
0BMC Nursing, Год журнала: 2025, Номер 24(1)
Опубликована: Апрель 8, 2025
Язык: Английский
Процитировано
0International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 12
Опубликована: Апрель 15, 2025
Язык: Английский
Процитировано
0Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Апрель 22, 2025
Язык: Английский
Процитировано
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