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Eder, Thésése F.; Scheiter, Katharina; Richter, Juliane; Keutel, Constanze; Hüttig, Fabian – Journal of Computer Assisted Learning, 2022
Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified.…
Descriptors: Eye Movements, Dentistry, Visual Aids, Radiology
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Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
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Pi, Z.; Hong, J.; Yang, J. – Journal of Computer Assisted Learning, 2017
One of the most commonly used forms of video lectures is a combination of an instructor's image and accompanying lecture slides as a picture-in-picture. As the image size of the instructor varies significantly across video lectures, and so do the learning outcomes associated with this technology, the influence of the instructor's image size should…
Descriptors: Foreign Countries, Undergraduate Students, Visual Perception, College Faculty