Enhancing AI competence in health management: students' experiences with ChatGPT as a learning Tool.
BMC Med Educ
; 24(1): 598, 2024 May 30.
Article
em En
| MEDLINE
| ID: mdl-38816721
ABSTRACT
BACKGROUND:
The healthcare industry has had to adapt to significant shifts caused by technological advancements, demographic changes, economic pressures, and political dynamics. These factors are reshaping the complex ecosystem in which healthcare organizations operate and have forced them to modify their operations in response to the rapidly evolving landscape. The increase in automation and the growing importance of digital and virtual environments are the key drivers necessitating this change. In the healthcare sector in particular, processes of change, including the incorporation of artificial intelligent language models like ChatGPT into daily life, necessitate a reevaluation of digital literacy skills.METHODS:
This study proposes a novel pedagogical framework that integrates problem-based learning with the use of ChatGPT for undergraduate healthcare management students, while qualitatively exploring the students' experiences with this technology through a thematic analysis of the reflective journals of 65 students.RESULTS:
Through the data analysis, the researcher identified five main categories (1) Use of Literacy Skills; (2) User Experiences with ChatGPT; (3) ChatGPT Information Credibility; (4) Challenges and Barriers when Working with ChatGPT; (5) Mastering ChatGPT-Prompting Competencies. The findings show that incorporating digital tools, and particularly ChatGPT, in medical education has a positive impact on students' digital literacy and on AI Literacy skills.CONCLUSIONS:
The results underscore the evolving nature of these skills in an AI-integrated educational environment and offer valuable insights into students' perceptions and experiences. The study contributes to the broader discourse about the need for updated AI literacy skills in medical education from the early stages of education.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
Limite:
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article