Assessment of Knowledge, Attitude and Practices of Nursing and Lady Health Visitors Students Regarding Chat-GPT. A Cross Sectional Descriptive Study
Abstract The integration of artificial intelligence tools, including ChatGPT, is increasingly prevalent in nursing education. Within the healthcare sector, ChatGPT presents distinctive opportunities to improve both the learning experiences and clinical practices of nursing students. The aim of the study was to evaluate the level of awareness, attitude, and practices of undergraduate nursing students regarding ChatGPT in Pakistan. Methodology: A cross-sectional study design was adopted for the current study that was conducted in nursing institutes of Pakistan, while the participants were undergraduate nursing and lady health visitors students. The sample size of the study was 347 using a convenient sampling technique, while data were collected through a valid and reliable questionnaire. Data were analysed through SPSS 22 while goals and objectives of the study were explained to the participant to protect their ethical rights. Results: The maximum number of participants were male n = 237 (68.1%), the age group 21 to 25 was n = 132 (37.9%), and the qualification of 4 years BSN was n = 256 (73.6%). The maximum mean score regarding ChatGPT was an attitude of 1.50 ± 0.61, which indicates a positive attitude, followed by a moderate level of awareness of 1.28 ± 0.61 and an average practice of 1.25 ± 0.41. Conclusion: On the basis of findings, it showed that participants have a moderate level of awareness, attitude, and practices, which indicated that ChatGPT is perceived as a useful and beneficial tool that significantly improves students’ academic performance and understanding, enriching the learning experience.
Institutions
- Liaquat University of Medical & Health Sciences (PK)
- University of the Punjab (PK)
- Nishtar Medical College and Hospital (PK)
- Khyber Medical University (PK)
- New York Times (US)
- NIMS University (IN)
- Hamad Medical Corporation (QA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-22
- DOI
- https://doi.org/10.5281/zenodo.14909852
- Primary Topic
- Clostridium difficile and Clostridium perfringens research
- Type
- article
- Field-Weighted Citation Impact
- 0.00