Related Experiment Video
Updated: Jun 16, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Nursing Students' Early Attitudes Towards the Use of Artificial Intelligence and ChatGPT: An Exploratory Study
Soner Berşe1, Kamile Akça2, Ezgi Dirgar1
1Faculty of Health Sciences, Gaziantep University, Gaziantep, Turkey.
Background:
As artificial intelligence (AI) becomes increasingly prevalent in nursing education, understanding student attitudes is essential for its effective integration.
Aim:
This study aimed to explore nursing students' attitudes towards AI and ChatGPT in the context of nursing education.
Design:
This study employed a cross-sectional design.
Methods:
A sample of Turkish nursing students (n = 347) was included in the study. Data were collected from August-October 2023 using the Student Introduction Form and the General Attitudes towards Artificial Intelligence Scale (GAAIS) through Google Forms. Descriptive statistics, t-tests, and ANOVA were used for data analysis. Correlation analysis was performed to examine the relationship between variables.
Results:
Among the participants, 56.8% were aware of AI, 16.4% had previous experience using an AI application, 46.4% believed that AI is beneficial in nursing practices and 79.3% supported the use of AI in the nursing field. A weakly positive correlation was found between the positive and negative attitude subscales of the GAAIS (r = 0.274, p < 0.01).
Conclusions:
This study reveals the complexity and variability of nursing students' attitudes towards AI and ChatGPT. Increased exposure to these technologies may improve future nursing practices. Educational institutions and policymakers need to promote positive attitudes towards AI and ChatGPT to facilitate their effective integration. To ensure ethical and responsible usage of AI, universities must carefully evaluate the risks and benefits associated with these technologies.
More Related Videos
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
07:14Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Related Concept Videos
Surveys
Current Trends in Nursing II
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Data Collection II
Introduction to Cognitive Psychology
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...