AI-Enhanced Epidemiology Education: Bridging Technology and Conceptual Understanding
DOI:
https://doi.org/10.25259/IJTMRPH_55_2024Keywords:
- Artificial Intelligence,
- Epidemiology,
- Public Health,
- Education,
- Teaching Methods,
- Learning,
- Innovation
Abstract
This article explores the integration of artificial intelligence (AI) and innovative teaching methods in epidemiology education, emphasizing a balanced approach to enhance learning outcomes. While traditional teaching focuses on core concepts and rubric-based evaluation offers consistency, overreliance on these methods can lead to superficial understanding. Creative and experiential learning activities, such as poems, cartoons, and ungrading, foster deeper engagement and mastery. Technological tools such as simulated outbreak investigations, virtual epidemiology games, and augmented reality programs provide hands-on experience and inspire motivated learning. Emphasizing critical thinking and practical skills, a balanced approach leveraging rubrics, AI, and innovative methods is essential for comprehensive and effective epidemiology education.
Downloads
Similar Articles
- Valerie Luzi, The U.S. Opioid Crisis: Decriminalization as a Potential Approach , Vol. 4 No. 1 (2020): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Terrie Cowley, Allen W. Cowley, Real-World Evidence: Why Are We Still Waiting? , Vol. 9 No. Special Collection (2025): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Deepa Dongarwar, Karla Moriel, Kobby A Wiafe, Hamisu M Salihu, Sex and Age-Based Differences in Adult Acute Myeloid Leukemia Hospitalizations in the United States, 2009-2018 , Vol. 6 No. 1 (2022): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Gonzalo Monge, Matías Otto-Yáñez, Nicole Norambuena, Verónica Martínez, Daniela Retamales, Rodrigo Torres-Castro, Safety of Hyperbaric Oxygenation Treatment and Evaluation of Associated Clinical Parameters: A Single-Institutional Prospective Cohort Study , Vol. 7 No. 1 (2023): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Deepa Dongarwar, Ebubechi K Adindu, Ruth Mizu, Hamisu M Salihu, Racial/Ethnic Disparities in Preeclampsia, Eclampsia, and HELLP Syndrome Hospitalizations Rates in the United States , Vol. 6 No. 1 (2022): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Deepa Dongarwar, Brisa Y Garcia, Nisha Jacob, Hamisu M Salihu, Racial/Ethnic Disparities in Temporal Trends of Myocardial Infarction Hospitalizations Among Pregnant Women in the United States: 2009-2018 , Vol. 5 No. 2 (2021): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
- Hamisu M Salihu, Brisa Y Garcia, Deepa Dongarwar, Racial/Ethnic Disparities in Receipt of Lung Transplant and In-Hospital Mortality among Pediatric and Adolescent Patients in the United States , Vol. 5 No. 2 (2021): The International Journal of Translational Medical Research and Public Health (IJTMRPH)
You may also start an advanced similarity search for this article.
Published
How to Cite
Issue
Section
License
Copyright © 2024 Akshaya S Bhagavathula. Published by Global Health and Education Projects, Inc., USA.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.
.
