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. 2024 Dec 6;13(1):2434322.
doi: 10.1080/28338073.2024.2434322. eCollection 2024.

Revolutionising Faculty Development and Continuing Medical Education Through AI-Generated Videos

Irene Contreras  1 , Samia Hossfeld  1 , Katharine de Boer  1 , Jane Thorley Wiedler  1 , Monica Ghidinelli  1
Affiliations

Revolutionising Faculty Development and Continuing Medical Education Through AI-Generated Videos

Irene Contreras et al. J CME. .

Abstract

Producing high-quality and engaging educational videos for continuing medical education (CME) is traditionally time-consuming and costly. Generative AI tools have shown promise in creating synthetic videos that mimic traditional lecture videos. We conducted a comparative analysis of four AI video generation platforms HeyGen, Synthesia, Colossyan, and HourOne using the Kano model. Our analysis revealed that HeyGen met most of our requirements. We created two videos and collected feedback from 25 learners. The feedback indicated that the videos were of good quality, engaging, and well-paced for learning. Only 32% recognised the videos as AI-generated, citing limited facial expressions, hand gestures and monotone vocal expression. Importantly, only 24% considered disclosure of AI-generated content necessary. This research indicates that AI-generated videos can be a viable alternative to traditionally produced educational videos. It offers an efficient, cost-effective solution for producing educational content. Ethical considerations regarding AI content disclosure should be addressed to maintain transparency.

Keywords: AI video platforms; AI-generated lectures; AI-generated videos; CME; faculty development; generative AI; synthetic videos.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Set of AI-video platform key features determined using the Kano model.
Figure 2.
Figure 2.
Radar chart of AI-tools features. a. Features whose presence does not necessarily lead to satisfaction, but whose absence can cause dissatisfaction; b. features that have a direct correlation with satisfaction; the more of these features a product possesses, the higher the user satisfaction level. c. Features that increase user satisfaction when present, but whose absence has little impact on satisfaction.
Figure 3.
Figure 3.
Learner feedback. a. AI-generated videos b,c. Analysis of survey answers N = 25.
See this image and copyright information in PMC

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