A Digital Humanities Exploration of AI-driven Learning Technologies in Medical Education

DOI

10.2991/978-94-6463-525-6_48How to use a DOI?

Keywords

Digital humanities; Digital health humanities; AI-driven learning technologies; Medical education

Abstract

Digital humanities (DH) is an emerging research method that blends critical analysis with computational tools to explore multifaceted research inquiries. Digital health humanities (DHH) is a related field that focuses on the intersection of digital technologies and healthcare. The rapid incorporation of Artificial Intelligence (AI) into medical education offers the potential to transform healthcare and educational procedures significantly. This paper explores the potential of AI-driven learning technologies in medical education through the lens of digital humanities and DHH. A research questionnaire was employed to assess the perceptions of medical undergraduates regarding AI-driven learning technologies in medical education. The results suggest that undergraduate medical students have a positive perception of AI-driven learning technologies in medical education. The highest average ratings were for AI Education Impact, AI Clinical Potential, and AI Concept Learning, indicating that students believe that the integration of AI technology in medical education can enhance learning efficiency and effectiveness, improve students’ abilities to identify and solve clinical problems, and aid the understanding of complex medical concepts. The lowest average ratings were for AI Forum Participation and Filtering AI Information, indicating that students may need more encouragement and guidance to participate in online discussion forums and to identify and filter AI-related information from digital sources to avoid errors and biases. The findings of this study can inform the development of interventions to promote the use of AI-driven learning technologies in medical education and to address the challenges associated with their integration.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wike Astrid Cahayani
AU  - Indriati Dwi Rahayu
AU  - Danik Agustin Purwantiningrum
PY  - 2024
DA  - 2024/10/29
TI  - A Digital Humanities Exploration of AI-driven Learning Technologies in Medical Education
BT  - Proceedings of the 2023 Brawijaya International Conference (BIC 2023)
PB  - Atlantis Press
SP  - 414
EP  - 420
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-525-6_48
DO  - 10.2991/978-94-6463-525-6_48
ID  - Cahayani2024
ER  -