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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
Youssef Hebaish; Sohom Chatterjee; James Deegear; Miles Rucker; Hrayer Aprahamian; Lewis Ntaimo – Journal of American College Health, 2025
Objective: To investigate the effectiveness, from a system's perspective, of offering group counseling options in college counseling centers. Methods: We achieve this through a data-driven simulation-based approach with the aim of providing administrators with a quantitative tool that informs their decision-making process. Results: Our simulation…
Descriptors: Group Counseling, School Counseling, Guidance Centers, Resource Allocation
Szergej Capec; Gabriella Capec; Zuzana Mateasikova; Hana Rancova; Jana Petrkova; Jaromir Vachutka; Martin Petrek – Advances in Physiology Education, 2025
A good knowledge of the theoretical foundations of medicine helps students and physicians to better recognize and treat patients with complex medical conditions, including sepsis and septic shock. The article describes the authors' experience in implementing the analysis of sepsis and septic shock using a high-fidelity simulated clinical scenario…
Descriptors: Teaching Methods, Pathology, Physiology, Diseases
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
Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
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
Does Australia's Competency-Based Training Meet the Mental Health Training Needs of Enrolled Nurses?
Karen Hall; Jason Skues; Debra Kiegaldie – International Journal of Training Research, 2025
Australia's demand for nurses is exponentially increasing as we are faced with a global pandemic, an ageing population, and an increase in chronic health conditions and mental health issues. This presents a significant challenge for the healthcare system by increasing the absolute number of people needing care. The Enrolled Nursing course can…
Descriptors: Nursing Education, Competency Based Education, Labor Needs, Nurses