ChatGPT and the teaching of contemporary nursing: And now professor?

Abstract

ChatGPT is a conversational Artificial Intelligence (AI) platform that uses machine learning algorithms to generate human-like responses to natural language queries. GPTChat has been widely adopted in various applications, including customer service, personal assistance, scientific research (Thorp, 2023) and education, such as medical education (Arif et al., 2023). Recently ChatGPT passed the US Medical Licensing Examination (USMLE), at least the multiple-choice questions (Kung et al., 2023), and with so much speculation and doubts about the impacts on nursing education (O'Connor & ChatGpt, 2023); we have a provocation. How will the ChatGPT impact contemporary nursing teaching? When we asked ChatGPT about the positive impacts of the ChatGPT on contemporary nursing education, some answers were as follows: enhancing student learning, improving clinical decision-making, facilitating collaboration and communication, supporting personalised learning, and enhancing accessibility and flexibility. We also asked about the negative impact of using ChatGPT in contemporary nursing education. The answers were as follows: dependence on technology, information overload, limited human interaction, privacy and security concerns, bias, and accuracy. Although these advanced chatbots (ChatGPT is one of them) are a disruptive technology that will change how we teach and learn, much is yet to be considered. We asked about the potential challenges of using ChatGTP for contemporary nursing care education; some answers were as follows: technical proficiency, information management, curriculum development, student engagement and ethical considerations. A recent article published online assessed sexism and racism in the bot answers (Workplace Evolution, 2023). The authors detected that 90% of the time, the AI used the article SHE to refer to a nurse. We will not enter into the technical explanation of why this happens, and yes, there are ways to contour this situation. However, the experiment reveals that that tool still needs improvement before extensive scale usage, as we are experiencing today. We agreed with what was described by ChatGPT. Overall, nurse professors will need to be proactive in addressing these challenges to ensure that AI is integrated into nursing education to enhance student learning and support the development of critical thinking skills and clinical decision-making abilities. It may require ongoing training and professional development to stay up-to-date with emerging best practices in using AI in nursing education. With the inevitable advancement of AI, we will have to learn how to work with it and not be against it. Luciano Magalhães Vitorino: Conceptualization, Supervision, Validation, Writing—review & editing. Gerson Hiroshi Yoshinari Júnior: Conceptualization, Validation, Writing—review & editing. The author(s) received no financial support for the research. The authors declare no conflicts of interest. There is no data avaliable for this article.

Ähnliche Arbeiten