All Outputs (3)

The Impact of Aligning Artificial Intelligence Large Language Models With Bloom's Taxonomy in Healthcare Education (2024)
Book Chapter
Pears, M., & Konstantinidis, S. T. (2024). The Impact of Aligning Artificial Intelligence Large Language Models With Bloom's Taxonomy in Healthcare Education. In J. A. Delello, & R. R. McWhorter (Eds.), Disruptive Technologies in Education and Workforce Development (166-192). IGI Global. https://doi.org/10.4018/979-8-3693-3003-6.ch008

The innovation of large language models (LLMs) has widened possibilities for renovating healthcare education through AI-powered learning resources, such as chatbots. This chapter explores the assimilation of LLMs with Bloom's taxonomy, demonstrating... Read More about The Impact of Aligning Artificial Intelligence Large Language Models With Bloom's Taxonomy in Healthcare Education.

Progressive Healthcare Pedagogy: An Application Merging ChatGPT and AI-Video Technologies for Gamified and Cost-Effective Scenario-Based Learning (2024)
Book Chapter
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

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

Repurposing Case-Based Learning to a Conversational Agent for Healthcare Cybersecurity (2021)
Book Chapter
Pears, M., Henderson, J., & Konstantinidis, S. T. (2021). Repurposing Case-Based Learning to a Conversational Agent for Healthcare Cybersecurity. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, …O. S. Chirila (Eds.), Public health and informatics : Proceedings of MIE 2021 (1066-1070). IOS Press. https://doi.org/10.3233/SHTI210348

A crucial factor for successful cybersecurity education is how information is communicated to learners. Case-based learning of common cybersecurity issues has been shown to improve human behaviour for prevention. However, some delivery methods preven... Read More about Repurposing Case-Based Learning to a Conversational Agent for Healthcare Cybersecurity.