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Bindu Menon; Meghana Reddy Ranabothu; Krissy Elizabeth Tarter; Tyrone Deonte Oneal Layson; Deepa Mukundan; Jeremy J. Laukka – Advances in Physiology Education, 2025
Cognitive science principles can facilitate integrating and retaining basic science concepts during the clinical years of undergraduate medical education. We hypothesized that reinforcing foundational science concepts during the core clerkship experiences fosters the development of clinical reasoning in medical students. A patient simulation…
Descriptors: Undergraduate Students, Medical Education, Medical Students, Clinical Experience
Bogomolova, Katerina; van der Ham, Ineke J. M.; Dankbaar, Mary E. W.; van den Broek, Walter W.; Hovius, Steven E. R.; van der Hage, Jos A.; Hierck, Beerend P. – Anatomical Sciences Education, 2020
Monoscopically projected three-dimensional (3D) visualization technology may have significant disadvantages for students with lower visual-spatial abilities despite its overall effectiveness in teaching anatomy. Previous research suggests that stereopsis may facilitate a better comprehension of anatomical knowledge. This study evaluated the…
Descriptors: Visualization, Educational Technology, Technology Uses in Education, Computer Simulation
Gonzalez, Alexis A.; Lizana, Pablo A.; Pino, Sonia; Miller, Brant G.; Merino, Cristian – Advances in Physiology Education, 2020
The integrated mechanisms of heart contraction are some of the most complex processes for undergraduate biomedical students to understand. Visual models have the potential to enhance learning environments by providing visual representations of complex mechanisms. Despite their benefits, the use of visual models in undergraduate classrooms is still…
Descriptors: Computer Simulation, Physiology, Biomedicine, Medical Students
Nicolaou, Persoulla A.; El Saifi, Mamoun – Advances in Physiology Education, 2020
To reduce medication errors, medical educators must nurture the early development of rational and safe prescribing. Teaching pharmacology is challenging because it requires knowledge integration across disciplines, including physiology and pathology. Traditionally, pharmacology has been taught using lecture-based learning, which conveys consistent…
Descriptors: Computer Simulation, Patients, Medical Students, Pharmacology
Allen, Lauren K.; Eagleson, Roy; de Ribaupierre, Sandrine – Anatomical Sciences Education, 2016
Neuroanatomy is one of the most challenging subjects in anatomy, and novice students often experience difficulty grasping the complex three-dimensional (3D) spatial relationships. This study evaluated a 3D neuroanatomy e-learning module, as well as the relationship between spatial abilities and students' knowledge in neuroanatomy. The study's…
Descriptors: Anatomy, Neurosciences, Undergraduate Students, Medical Students
Küçük, Sevda; Kapakin, Samet; Göktas, Yüksel – Anatomical Sciences Education, 2016
Augmented reality (AR), a new generation of technology, has attracted the attention of educators in recent years. In this study, a MagicBook was developed for a neuroanatomy topic by using mobile augmented reality (mAR) technology. This technology integrates virtual learning objects into the real world and allow users to interact with the…
Descriptors: Anatomy, Medical Education, Undergraduate Students, Medical Students
Varutharaju, Elengovan; Ratnavadivel, Nagendralingan – Malaysian Journal of Learning and Instruction, 2014
Purpose: The study aimed to explore, describe and analyse the design and implementation of clinical simulation as a pedagogical tool in bridging the deficiency of higher order thinking skills among para-medical students, and to make recommendations on incorporating clinical simulation as a pedagogical tool to enhance thinking skills and align the…
Descriptors: Thinking Skills, Simulation, Simulated Environment, Computer Simulation
Ribaric, Samo; Kordas, Marjan – Advances in Physiology Education, 2011
Here, we report on a new tool for teaching cardiovascular physiology and pathophysiology that promotes qualitative as well as quantitative thinking about time-dependent physiological phenomena. Quantification of steady and presteady-state (transient) cardiovascular phenomena is traditionally done by differential equations, but this is time…
Descriptors: Physiology, Electronics, Active Learning, Computer Simulation