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Hui-Chen Lin; Hsin Huang; Chia-Kuang Tsai; Shao-Chen Chang – British Journal of Educational Technology, 2025
Dementia patients may have language barriers and decreased comprehension ability. Their family caregivers can feel frustrated when communicating with them. Poor communication hinders family caregivers from obtaining accurate health information about patients, and may also increase their emotional burden, affecting patient care quality. The present…
Descriptors: Dementia, Patients, Language Impairments, Communication Problems
Xiaoshan Huang; Andy Nguyen; Susanne P. Lajoie – European Journal of Psychology of Education, 2025
Socially shared regulated learning (SSRL) plays a crucial role in enhancing collaborative learning processes. This study explores the association between medical residents' team action, SSRL and heart rate changes using BioWorld, a technology-rich learning environment (TRE) designed to support medical practitioners' diagnostic reasoning skills as…
Descriptors: Graduate Medical Education, Metabolism, Clinical Diagnosis, Thinking Skills
Donnchadh O'Sullivan; Tomas Leng; Christopher Bosley; Amelia Barwise; Raymond Stetson; Yue Dong; Stephanie Mavis; Venkatesh Bellamkonda; Christopher Colby; Brian Pickering – Discover Education, 2024
Purpose: 360° immersive videos may be useful in procedure-based healthcare settings. We hypothesized that extended reality (XR) neonatal intubation education is a feasible alternative to live demonstration in skill and knowledge transfer. Methods: This was a prospective single center evaluation of an educational XR intubation video using Premature…
Descriptors: Video Technology, Computer Simulation, Health Services, Neonates
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
Fink, Maximilian C.; Heitzmann, Nicole; Reitmeier, Victoria; Siebeck, Matthias; Fischer, Frank; Fischer, Martin R. – Advances in Health Sciences Education, 2023
Clinical reasoning theories agree that knowledge and the diagnostic process are associated with diagnostic success. However, the exact contributions of these components of clinical reasoning to diagnostic success remain unclear. This is particularly the case when operationalizing the diagnostic process with diagnostic activities (i.e., teachable…
Descriptors: Computer Simulation, Patients, Medical Students, Medical Education
Balfour, Michael; Cattoni, Jan; Sextou, Persephone; Herbert, Anthony; Seear, Lynne; Lobwein, Guy; Gibson, Margaret; Penton, Jennifer – Research in Drama Education, 2022
Hospitalisation can be a challenging experience for young people, including higher levels of anxiety, social isolation, and depression. In this paper we identify the possibilities of an applied theatre pilot that aimed to combine co-designed virtual reality (VR) approaches with intermedial work with young people in hospital. Within the pilot study…
Descriptors: Computer Simulation, Hospitals, Design, Patients
Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
Niccolò Butti; Emilia Biffi; Romina Romaniello; Alessandra Finisguerra; Enza Maria Valente; Sandra Strazzer; Renato Borgatti; Cosimo Urgesi – Journal of Autism and Developmental Disorders, 2025
This study tested the feasibility and efficacy of a Virtual Reality (VR) social prediction training (VR-Spirit) specifically designed for patients with congenital cerebellar malformation. The study is a randomised controlled trial in which 28 cerebellar patients aged 7-25 yo were randomly allocated to the VR-Spirit or to a control intervention in…
Descriptors: Computer Simulation, Prediction, Interpersonal Competence, Children
Hoyt, Helina; Hauze, Sean – International Journal on E-Learning, 2023
Nursing education relies on simulation to provide standardized, safe clinical experiences to prepare nurses for complex patient scenarios. Traditional simulation requires cost-prohibitive equipment and facilities, which are incompatible with complex scenarios and distance learning. Early studies indicate eXtended Reality technology is an effective…
Descriptors: Nursing Education, Nursing Students, Photography, Computer Simulation
Chun-Chun Chang – Education and Information Technologies, 2025
In professional education, cultivating students' abilities in communication, cooperation, reflection, and problem solving is a crucial objective. Taking nursing student training as an example, cooperative learning involves collectively discussing the evaluation and management of first aid cases. This aims to help students comprehend their roles…
Descriptors: Professional Education, Nursing Education, Cooperative Learning, First Aid
Su, Wen-Song; Chang, Ching-Yi – Interactive Learning Environments, 2023
This study uses bibliometrics and social network analysis methods to investigate the characteristics of the most cited research papers in the Web of Science (WoS) database in virtual patient (VP) studies in interactive learning environments. We identify the most cited studies from the WoS database and then visualize and analyze the research data…
Descriptors: Journal Articles, Computer Simulation, Patients, Medical Education
Kamelia Sepanloo; Daniel Shevelev; Md Tariqul Islam; Young-Jun Son; Shravan Aras; Janine E. Hinton – Educational Technology Research and Development, 2025
Integrating Mixed Reality (MR) into nursing education and professional practice has recently captured significant interest as a transformative approach. This paper presents a comprehensive exploration and practical insights into designing and implementing an advanced MR training platform to provide nursing students with immersive experiences…
Descriptors: Nursing Education, Educational Improvement, College Faculty, Pilot Projects
Yew Kong Lee; Ping Yein Lee; Yee Ling Lau; Chirk Jenn Ng; Wei Leik Ng; Thiam Kian Chiew; Adina Abdullah; Jamuna Vadivelu; Amirah Amir; Christina Phoay Lay Tan; Caroline Kwong Leng Chin – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to evaluate the effectiveness of using a virtual patient (VP) software program in increasing clinical reasoning skills confidence among medical students. Design/methodology/approach: A quasi-experimental design was used to compare the outcomes of students' confidence levels on clinical reasoning between problem-based…
Descriptors: Foreign Countries, Medical Students, Clinical Diagnosis, Computer Simulation
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
Shannon L. Cooper; Scott E. Renshaw – International Journal of Designs for Learning, 2023
For many instructional designers (ID), subject matter experts (SMEs) are viewed as a necessary evil. Depending upon their day job, SMEs can be challenging to work with due to their schedules and responsibilities outside the ID's project. They can be unaware of the eLearning process, learning models and theories, and expensive -- a SME can easily…
Descriptors: Instructional Design, Expertise, Intellectual Disciplines, Medical Students

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