Next Article in Journal
Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques
Previous Article in Journal
Clinical Applicability of Machine Learning Models for Binary and Multi-Class Electrocardiogram Classification
Previous Article in Special Issue
The Promises and Pitfalls of Large Language Models as Feedback Providers: A Study of Prompt Engineering and the Quality of AI-Driven Feedback
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films

1
University of Washington School of Medicine, Seattle, WA 98195, USA
2
WWAMI Medical Education Department, University of Idaho, Moscow, ID 83844, USA
3
The CSEveryone Center for Computer Science Education, University of Florida, Gainesville, FL 32611, USA
4
Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID 83844, USA
*
Author to whom correspondence should be addressed.
Submission received: 23 January 2025 / Revised: 5 March 2025 / Accepted: 12 March 2025 / Published: 17 March 2025
(This article belongs to the Special Issue Exploring the Use of Artificial Intelligence in Education)

Abstract

Medical education faces the dual challenge of addressing cognitive overload and sustaining student engagement, particularly in complex subjects such as pharmacology. This study introduces Cinematic Clinical Narratives (CCNs) as an innovative approach to teaching antiparasitic pharmacology, combining generative artificial intelligence (genAI), edutainment, and mnemonic-based learning. The intervention involved two short films, Alien: Parasites Within and Wormquest, designed to teach antiparasitic pharmacology to first-year medical students. A control group of students only received traditional text-based clinical cases, while the experimental group engaged with the CCNs in an active learning environment. Students who received the CCN material scored an average of 8% higher on exam questions related to the material covered by the CCN compared to students in the control group. Results also showed that the CCNs improved engagement and interest among students, as evidenced by significantly higher scores on the Situational Interest Survey for Multimedia (SIS-M) compared to traditional methods. Notably, students preferred CCNs for their storytelling, visuals, and interactive elements. This study underscores the potential of CCNs as a supplementary educational tool, and suggests the potential for broader applications across other medical disciplines outside of antiparasitic pharmacology. By leveraging genAI and edutainment, CCNs represent a scalable and innovative approach to enhancing the medical learning experience.
Keywords: generative AI in education; educational technology; cinematic clinical narratives; medical education; pharmacology education; multimodal AI generative AI in education; educational technology; cinematic clinical narratives; medical education; pharmacology education; multimodal AI

Share and Cite

MDPI and ACS Style

Worthley, B.; Guo, M.; Sheneman, L.; Bland, T. Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films. AI 2025, 6, 60. https://doi.org/10.3390/ai6030060

AMA Style

Worthley B, Guo M, Sheneman L, Bland T. Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films. AI. 2025; 6(3):60. https://doi.org/10.3390/ai6030060

Chicago/Turabian Style

Worthley, Benjamin, Meize Guo, Lucas Sheneman, and Tyler Bland. 2025. "Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films" AI 6, no. 3: 60. https://doi.org/10.3390/ai6030060

APA Style

Worthley, B., Guo, M., Sheneman, L., & Bland, T. (2025). Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films. AI, 6(3), 60. https://doi.org/10.3390/ai6030060

Article Metrics

Back to TopTop