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Hill, James; Hamer, Oliver; Breed, Hetty; Ford, Jordan; Twamley, Jacqueline; Kenyon, Roger; Twamley, Huw; Casey, Rob; Zhang, Jennifer; Clegg, Andrew – Journal of Computer Assisted Learning, 2023
Background: The use of virtual reality (VR) in medical education allows learners to make mistakes safely without risk to patients and to refine a range of clinical skills by repetition. However, there is still wide variability both between, and within countries regarding the amount of training delivered using VR, particularly in relation to…
Descriptors: Hospitals, Health Personnel, Patients, Job Training
Lin, Xiao-Fan; Liang, Zhong-Mei; Chan, Kan Kan; Li, Wenyi; Ling, Xiaolan – Journal of Computer Assisted Learning, 2022
Background: The contextual and interactive learning research was motivated by the need to enhance the healthcare training effect of caregivers of patients with suspected COVID-19 infection during quarantine. However, there is a lack of effective approaches to integrating mobile contextual learning into interactive learning. Objectives: Therefore,…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
Sobocan, M.; Klemenc-Ketis, Z. – Journal of Computer Assisted Learning, 2017
An increasing number of virtual patients (VPs) are being used in the classroom, which raises questions about how to implement VPs to improve students' satisfaction and enhance their learning. This study developed and validated a scale that measures acceptability and attitudes of medical students towards the use of the VP education tool in the…
Descriptors: Medical Students, Virtual Classrooms, Patients, Student Attitudes