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Download full textGülcan Gencer; Nazli Sensoy; Kerem Gencer – Journal of Learning and Teaching in Digital Age, 2025
The metaverse is defined as an inevitable evolution of the internet and holds great potential as a new medium for social interaction. Its integration into educational environments has been increasingly recommended. This study aimed to explore a technology-supported solution for the challenges experienced in the problem-based learning (PBL) process…
Descriptors: Problem Based Learning, Medical Education, Computer Simulation, Computer Uses in Education
Direct linkFischer, Frank; Bauer, Elisabeth; Seidel, Tina; Schmidmaier, Ralf; Radkowitsch, Anika; Neuhaus, Birgit J.; Hofer, Sarah I.; Sommerhoff, Daniel; Ufer, Stefan; Kuhn, Jochen; Küchemann, Stefan; Sailer, Michael; Koenen, Jenna; Gartmeier, Martin; Berberat, Pascal; Frenzel, Anne; Heitzmann, Nicole; Holzberger, Doris; Pfeffer, Jürgen; Lewalter, Doris; Niklas, Frank; Schmidt-Hertha, Bernhard; Gollwitzer, Mario; Vorholzer, Andreas; Chernikova, Olga; Schons, Christian; Pickal, Amadeus J.; Bannert, Maria; Michaeli, Tilman; Stadler, Matthias; Fischer, Martin R. – Information and Learning Sciences, 2022
Purpose: To advance the learning of professional practices in teacher education and medical education, this conceptual paper aims to introduce the idea of representational scaffolding for digital simulations in higher education. Design/methodology/approach: This study outlines the ideas of core practices in two important fields of higher…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Computer Simulation, Higher Education
Jeon, Young Keul; Youm, Jae Boum; Ha, Kotdaji; Woo, JooHan; Yoo, Hae Young; Leem, Chae Hun; Lee, Seung Hee; Kim, Sung Joon – Advances in Physiology Education, 2020
To understand the excitation-contraction (E-C) coupling of cardiomyocytes, including the electrophysiological mechanism of their characteristically long action potential duration, is one of the major learning goals in medical physiology. However, the integrative interpretation of the responses occurring during the contraction-relaxation cycle is…
Descriptors: Physiology, Medical Education, Mathematics, Computer Simulation
Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
Tekin, Murat; Uysal, Ibrahim – International Journal of Curriculum and Instruction, 2023
As a requirement of our era, digital competence and e-learning have become basic competencies. The importance of these concepts has become clearer in medical education, especially with the COVID-19 pandemic. This period also triggered the transformation in education with technology. This study aimed to examine the relationship between medical…
Descriptors: Medical Education, Medical Students, Electronic Learning, Student Attitudes
Rasalam, Roy; Bandaranaike, Suniti – International Journal of Work-Integrated Learning, 2020
In the current context of COVID-19 restrictions, the perceived infection risk in healthcare facilities has resulted in limited opportunities for clinical placements. This paper aims to demonstrate how virtual WIL clinics (virtual simulated general practice clinics), provide an authentic clinical experience and to ascertain whether these virtual…
Descriptors: COVID-19, Pandemics, Experiential Learning, Work Experience Programs
Bintley, Helen L.; Bell, Alexander; Ashworth, Rachel – Advances in Physiology Education, 2019
Evidence shows that biomedical knowledge is more effectively taught within the medical curriculum by teaching in context, to facilitate learning transfer. The purpose of the present study was to evaluate the effect of combining high-technology simulation and physiology teaching on medical student learning and experience. First-year medical…
Descriptors: Physiology, Clinical Experience, Medical Education, Technology Integration
Doleck, Tenzin; Jarrell, Amanda; Poitras, Eric G.; Chaouachi, Maher; Lajoie, Susanne P. – Australasian Journal of Educational Technology, 2016
Clinical reasoning is a central skill in diagnosing cases. However, diagnosing a clinical case poses several challenges that are inherent to solving multifaceted ill-structured problems. In particular, when solving such problems, the complexity stems from the existence of multiple paths to arriving at the correct solution (Lajoie, 2003). Moreover,…
Descriptors: Accuracy, Patients, Computer Simulation, Clinical Diagnosis
Dabbagh, Nada; Blijd, Cecily Williams – Journal of Educational Multimedia and Hypermedia, 2009
This study is a third in a series of studies that examined students' information seeking and problem solving behaviors while interacting with one of two types of web-based representations of an ill-structured instructional design case: hierarchical (tree-like) and heterarchical (network-like). A Java program was used to track students' hypermedia…
Descriptors: Medical Education, Graduate Students, Quasiexperimental Design, Problem Based Learning
Peer reviewedRabinowitz, Mitchell, Ed. – International Journal of Educational Research, 1988
Five papers on the use of computer simulation (CS) in educational research are presented. The impacts of CS on educational research, modeling task performance, use of CS in problem solving in subject-matter domains, an interpretation synthesis model of medical teaching rounds discourse for expert system interaction, and computer-based learning…
Descriptors: Computer Assisted Instruction, Computer Simulation, Educational Research, Medical Education
Rovick, Allen A.; Michael, Joel A. – Physiologist, 1985
Uses examples from four exercises to show how computer-based education (CBE) is used to teach problem-solving in a physiology course. Screen prints are included to illustrate the exercises. Several benefits of using CBE strategies in physiology are also considered. (JN)
Descriptors: College Science, Computer Assisted Instruction, Computer Simulation, Computer Software
Stevens, Rons; Palacio-Cayetano, Joycelin – Cell Biology Education, 2003
Rapid advancements in hardware, software, and connectivity are helping to shorten the times needed to develop computer simulations for science education. These advancements, however, have not been accompanied by corresponding theories of how best to design and use these technologies for teaching, learning, and testing. Such design frameworks…
Descriptors: Medical Education, Student Attitudes, Audiences, Problem Solving
Bergin, Rolf; Youngblood, Patricia; Ayers, Mary K.; Boberg, Jonas; Bolander, Klara; Courteille, Olivier; Dev, Parvati; Hindbeck, Hans; Edward, Leonard E., II; Stringer, Jennifer R.; Thalme, Anders; Fors, Uno G. H. – Journal of Educational Computing Research, 2003
Interactive Simulated Patient (ISP) is a computer-based simulation tool designed to provide medical students with the opportunity to practice their clinical problem solving skills. The ISP system allows students to perform most clinical decision-making procedures in a simulated environment, including history taking in natural language, many…
Descriptors: Foreign Countries, Simulated Environment, Physical Examinations, Medical Students
Krahn, Corrie G.; Blanchaer, Marcel C. – Journal of Computer-Based Instruction, 1986
This study investigated the efficacy of using the advance organizer as a device to improve medical students' understanding of a clinical case simulation on the microcomputer and to enhance performance on a posttest. Advance organizers were found to be effective and most consistent with Mayer's assimilation theory. (MBR)
Descriptors: Advance Organizers, Case Studies, Clinical Experience, Computer Simulation
Peer reviewedMagill, Michael K.; And Others – Evaluation and the Health Professions, 1988
A computer-assisted interaction analysis system that describes behavior in small groups and focuses on active clinical problem-solving was developed and tested. Teacher and class characteristics are incorporated into the simulation, allowing feedback for improvement of medical teaching skills. (TJH)
Descriptors: Computer Simulation, Graduate Medical Education, Group Dynamics, Higher Education
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