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Mohammad Nizar Maulana; Agde Muzaky Kurniawan; Raden Argarini; Rimbun Rimbun; Eka Arum Cahyaning Putri – Advances in Physiology Education, 2025
Competitions outside the medical curriculum provide a platform for medical students to acquire advanced knowledge in specific medical subjects. The Indonesian Medical Physiology Olympiad (IMPhO) is the first and the largest competition in the field of physiology at the national level in Indonesia. It was held for the first time in 2017 and has…
Descriptors: Foreign Countries, Medical Education, Medical Students, Physiology
S. S. Prakash; N. Muthuraman – Discover Education, 2024
Introduction: The learning approach of undergraduate medical students can be influenced by motivations toward learning medicine as well as perceived outcomes such as their specialty preference in the future. In this study, we analyze the relationships between learning approach, motivation to study medicine, and factors related to their specialty…
Descriptors: Foreign Countries, Undergraduate Students, Medical Students, Student Motivation
Christian Schill; Samantha Panich; Mary F. Barbe; Maryellen E. Gusic; Judith Litvin – Advances in Physiology Education, 2024
First-year medical students are often challenged by the rapid pace and large volume of content that must be learned. Peer teaching has emerged as a supportive educational strategy. However, the most effective strategies for training peer tutors (PTs) for their role are not known. This paper examines the use of an Objective Structured Teaching…
Descriptors: Medical Students, Medical Education, Mentors, Peer Teaching
Wang, Tingting; Li, Shan; Huang, Xiaoshan; Pan, Zexuan; Lajoie, Susanne P. – Education and Information Technologies, 2023
Students process qualitatively and quantitatively different information during the dynamic self-regulated learning (SRL) process, and thus they may experience varying cognitive load in different SRL behaviors. However, there is limited research on the role of cognitive load in SRL. This study examined students' cognitive load in micro-level SRL…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Self Efficacy
Mohammed Saqr; Wannisa Matcha; Nora'ayu Ahmad Uzir; Jelena Jovanovic; Dragan Gaševic; Sonsoles López-Pernas – Australasian Journal of Educational Technology, 2023
Learning strategies are important catalysts of students' learning. Research has shown that students with effective learning strategies are more likely to have better academic achievement. This study aimed to investigate students' adoption of learning strategies in different course implementations, the transfer of learning strategies between…
Descriptors: Problem Based Learning, Learning Strategies, Electronic Learning, Medical Students
Helena Carvalho; Patricia A. Halpin; Elke Scholz-Morris; Rosa de Carvalho; Daniel Contaifer Jr. – Advances in Physiology Education, 2025
Dramatization, a teaching method where each student acts out or mimics a cell or body parts while the entire group represents the physiological process was adapted to produce original teaching videos paired with a pretest that activates memory and a posttest to prevent misconceptions. Three physiology instructors collaborated on Zoom to create six…
Descriptors: Role Playing, Physiology, Visualization, Teaching Methods
Destinee Schwendemann – ProQuest LLC, 2024
The purpose of this quantitative, non-experimental, correlational study was to determine if there was a correlation between first-time pass rates on the USMLE Step 1 and the use of active learning strategies in medical school classrooms. For the utility of this study, active learning strategies were defined as any activity in which medical…
Descriptors: Medical Education, Active Learning, Learning Strategies, Medical Students
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
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
Zilundu, Prince L.M.; Chibhabha, Fidelis; Chengetanai, Samson; Fu, Rao; Zhou, Li-Hua – Anatomical Sciences Education, 2022
Anatomy is a challenging preclinical subject owing to the vast amount of information that students need to master. The adoption of relevant study approaches is key to the development of a long-lasting understanding of anatomical subject matter. Phenomenographic educational research describes the medical students as using a variable mix of deep,…
Descriptors: Foreign Countries, Medical Students, Medical Education, Anatomy
Albar, Read A.; Mohamed, Ayman M. A.; Albarazi, Mohieddin A. B.; McAleer, Sean; Shaibah, Hassan S. – Advances in Physiology Education, 2022
Students with varying personality traits are likely to employ diverse learning and study strategies. However, this relationship has never been explored in the medical education context. This study's aim was to explore the relationship between learning strategies and personality traits among medical students. This study was a cross-sectional study,…
Descriptors: Foreign Countries, Learning Strategies, Personality Traits, Medical Students
Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
Kaminska, Malgorzata E.; Rikers, Remy M. J. P. – Advances in Health Sciences Education, 2021
The use of walking workstations in educational and work settings has been shown to improve cognitive abilities. At the same time, it has been repeatedly shown that medical residents around the world do not meet exercise guidelines, mainly due to a scarcity of available free time. Our study investigates the boundaries of the previously observed…
Descriptors: Physical Activities, Educational Environment, Medical Education, Clinical Diagnosis
Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
Wang, Tingting; Li, Shan; Lajoie, Susanne – Educational Technology & Society, 2023
Cognitive load can be induced by both learning tasks and self-regulated learning (SRL) activities, which compete for limited working memory capacity. However, there is little research on the relationship between cognitive load and SRL. This study explored how cognitive load interplayed with SRL behaviors and their joint effects on task performance…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Technology Uses in Education