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This paper is in the following e-collection/theme issue:

Pilot studies (non-ehealth) (129) e-Learning and Digital Medical Education (1027) Student/Learners Perceptions and Experiences with Educational Technology (151) Formative Evaluation of Digital Health Interventions (3639) Design and Evaluation of Medical Education Materials (61)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90037, first published .
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Learning Gain and User Experience of AI Avatar–Based and Human-Presented Explainer Videos: Prospective Randomized Crossover Feasibility Study

Learning Gain and User Experience of AI Avatar–Based and Human-Presented Explainer Videos: Prospective Randomized Crossover Feasibility Study

Authors of this article:

Mike Reichert1 Author Orcid Image ;   Thorsten Jungmann2 Author Orcid Image ;   Ute von Jan1, 3 Author Orcid Image ;   Urs-Vito Albrecht1 Author Orcid Image
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Mike Reichert   1 , B.Eng ;   Thorsten Jungmann   2 , Dr.-Ing. ;   Ute von Jan   1, 3 , Dr. rer. biol. hum. ;   Urs-Vito Albrecht   1 , MD, DrPH, PhD

1 Department of Digital Medicine, Medical School OWL, Bielefeld University, Bielefeld, North Rhine-Westphalia, Germany

2 Faculty of Engineering and Mathematics, Hochschule Bielefeld, Bielefeld, North Rhine-Westphalia, Germany

3 Peter L Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Lower Saxony, Germany

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