Comparative Analysis of NCLEX-RN Questions: A Duel Between ChatGPT and Human Expertise

Work With ChatGPT, Not Against: 3 Teaching Strategies That Harness the Power of Artificial Intelligence

BACKGROUND

Technological advances have expanded nursing education to include generative artificial intelligence (AI) tools such as ChatGPT.

PROBLEM

Generative AI tools challenge academic integrity, pose a challenge to validating information accuracy, and require strategies to ensure the credibility of AI-generated information.

APPROACH

This article presents a dual-purpose approach integrating AI tools into prelicensure nursing education to enhance learning while promoting critical evaluation skills. Constructivist theories and Vygotsky's Zone of Proximal Development framework support this integration, with AI as a scaffold for developing critical thinking.

OUTCOMES

The approach involves practical activities for students to engage with AI-generated content critically, thereby reinforcing clinical judgment and preparing them for AI-prevalent health care environments.

CONCLUSIONS

Incorporating AI tools such as ChatGPT into nursing curricula represents a strategic educational advancement, equipping students with essential skills to navigate modern health care.

Embracing the future: Integrating ChatGPT into China's nursing education system

This article delves into the role of ChatGPT within the rapidly evolving field of artificial intelligence, especially highlighting its significant potential in nursing education. Initially, the paper presents the notable advancements ChatGPT has achieved in facilitating interactive learning and providing real-time feedback, along with the academic community's growing interest in this technology. Subsequently, summarizing the research outcomes of ChatGPT's applications in nursing education, including various clinical disciplines and scenarios, showcases the enormous potential for multidisciplinary education and addressing clinical issues. Comparing the performance of several Large Language Models (LLMs) on China's National Nursing Licensure Examination, we observed that ChatGPT demonstrated a higher accuracy rate than its counterparts, providing a solid theoretical foundation for its application in Chinese nursing education and clinical settings. Educational institutions should establish a targeted and effective regulatory framework to leverage ChatGPT in localized nursing education while assuming corresponding responsibilities. Through standardized training for users and adjustments to existing educational assessment methods aimed at preventing potential misuse and abuse, the full potential of ChatGPT as an innovative auxiliary tool in China's nursing education system can be realized, aligning with the developmental needs of modern teaching methodologies.