Progressive Healthcare Pedagogy: An Application Merging ChatGPT and AI-Video Technologies for Gamified and Cost-Effective Scenario-Based Learning

Pears, Matthew; Poussa, Cherry; Konstantinidis, Stathis Th.

Abstract

Healthcare education faces numerous challenges in meeting the expanding needs of students while providing personalized learning experiences. Artificial Intelligence (AI) technologies, specifically Large Language Models (LLMs), have emerged as promising solutions to address these challenges. However, the gap between technological advancements and practical implementation remains a significant bottleneck in AI integration. This paper presents an exploration of the practical implementation of AI in healthcare education, focusing on user-friendly, controllable, and transparent AI tools. The study reviews existing literature on AI in healthcare education, emphasizing the potential of LLMs but also addressing challenges, such as bias and fairness. A methodology section describes a serious game-based workshop that leveraged AI tools including ChatGPT-4 to simulate dynamic healthcare scenarios and foster user engagement. Results demonstrate the efficacy and adaptability of AI-driven applications in healthcare education, highlighting their potential as cost-effective learning resources. The paper discusses the implications of AI implementation, including its capacity to transform traditional educational methods, promote curiosity, and foster trust. Ultimately, this paper aims to inspire foster innovation and inform best practices for the practical integration of AI in healthcare education, bridging the gap between theoretical complexity and real-world application.

Citation

Pears, M., Poussa, C., & Konstantinidis, S. T. (2024). Progressive Healthcare Pedagogy: An Application Merging ChatGPT and AI-Video Technologies for Gamified and Cost-Effective Scenario-Based Learning. In M. E. Auer, & T. Tsiatsos (Eds.), Smart Mobile Communication & Artificial Intelligence: Proceedings of the 15th IMCL Conference. Volume 2 (106-113). Springer. https://doi.org/10.1007/978-3-031-56075-0_10

• Online Publication Date: Mar 20, 2024
• Publication Date: 2024
• Deposit Date: Mar 21, 2024
• Publicly Available Date: Mar 21, 2025
• Publisher: Springer
• Pages: 106-113
• Series Title: Lecture Notes in Networks and Systems
• Series ISSN: 2367-3370
• Book Title: Smart Mobile Communication & Artificial Intelligence: Proceedings of the 15th IMCL Conference. Volume 2
• ISBN: 9783031560743
• DOI: https://doi.org/10.1007/978-3-031-56075-0_10
• Public URL: https://nottingham-repository.worktribe.com/output/32749878
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-031-56075-0_10