Assessing the Impact of AI-Generated Educational Materials on Nursing Education

Modern education is experiencing a paradigm shift with the integration of technology to optimize learning outcomes. This research project delves into the effectiveness of incorporating AI-generated educational scenes as a supplementary tool in nursing education. Advanced AI language models excels at generating realistic and contextually relevant text. By leveraging the capabilities of these AI generators, this study aims to bridge the gap between intricate, abstract nursing concepts and the comprehension levels of sophomore students, providing an avenue for enhanced learning experiences in the ever-evolving landscape of healthcare education. The study involves nursing students at Ursuline College within the second degree accelerated nursing program who voluntarily engage with AI-generated educational scenes. Participants complete a Likert scale survey, providing quantitative data. The content generated by AI is systematically analyzed for accuracy and relevance to nursing curriculum standards.

This poster will allow attendees to gain insights into the potential benefits and challenges of integrating AI-generated content into nursing education. The findings contribute to the ongoing discourse on innovative teaching methods and informatics in healthcare education.

Purpose: The primary purpose of this research is to assess the effectiveness of incorporating AI-generated educational scenes as a supplementary tool in nursing education. The study aims to explore how leveraging advanced AI language models can enhance the understanding of complex and abstract nursing concepts among sophomore-level students. By evaluating the impact of these educational scenes, the research seeks to contribute valuable insights into innovative pedagogical approaches within the evolving landscape of healthcare education.

Background/significance: Modern education is witnessing a paradigm shift with the integration of technology, presenting both opportunities and challenges. Nursing education, in particular, grapples with the task of imparting complex and abstract concepts to students, especially at the sophomore level. This research is significant as it addresses the growing need for effective tools that can facilitate the learning of intricate nursing concepts. By focusing on AI, an advanced AI language model, the study aims to enhance educational practices, potentially revolutionizing how nursing education leverages technology to optimize learning outcomes.

Method(s): The research adopts a mixed-methods approach to comprehensively assess the impact of AI-generated educational scenes. The methodology involves administering a Likert scale survey to sophomore-level nursing students at Ursuline College's Breen School of Nursing and Health Professions. This survey collects quantitative data on students' perceptions of the educational scenes. Additionally, a content analysis is conducted to evaluate the accuracy and relevance of the materials generated by AI. This combination of quantitative and qualitative methods provides a holistic understanding of the effectiveness of integrating AI-generated content into nursing education.

Result(s): The analysis of the collected data will involve both quantitative and qualitative assessments. Quantitatively, statistical analysis will be employed to derive insights from the Likert scale survey responses. Qualitatively, a content analysis will be conducted to evaluate the accuracy and relevance of the AI-generated educational scenes. The results aim to provide a nuanced understanding of how students perceive and engage with the AI-generated content, offering insights into the potential benefits and challenges of this innovative pedagogical approach.

Conclusions/implications: Based on the results, the research will draw conclusions regarding the effectiveness of integrating AI-generated educational scenes in nursing education for sophomore-level students. The study will discuss the implications of these findings for teaching practices, curriculum development, and the broader field of healthcare education. Insights gained from this research will contribute to the ongoing discourse on leveraging technology to enhance learning outcomes in nursing education.