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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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Davidsen, Jacob; Larsen, Dorthe Vinther; Paulsen, Lucas; Rasmussen, Sten – Journal of Problem Based Learning in Higher Education, 2022
In this paper, we present and discuss an explorative study on the use of a social 360° virtual reality (360VR) for supporting case-based Problem Based Learning (case-PBL) in clinical medical education. In the context of case-PBL, we argue that our social 360VR learning space extends the design and application of cases in medical education by…
Descriptors: Problem Based Learning, Medical Education, Teaching Methods, Comparative Analysis
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Padgett, Jessica; Cristancho, Sayra; Lingard, Lorelei; Cherry, Richard; Haji, Faizal – Advances in Health Sciences Education, 2019
Learner engagement matters, particularly in simulation-based education. Indeed, it has been argued that instructional design only matters in the service of engaging learners in a simulation encounter. Yet despite its purported importance, our understanding of what engagement is, how to define it, how to measure it, and how to assess it is limited.…
Descriptors: Learner Engagement, Health Services, Computer Simulation, Role
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Hirumi, Atsusi; Kleinsmith, Andrea; Johnsen, Kyle; Kubovec, Stacey; Eakins, Michael; Bogert, Kenneth; Rivera-Gutierrez, Diego J.; Reyes, Ramsamooj Javier; Lok, Benjamin; Cendan, Juan – Educational Technology Research and Development, 2016
Systematic reviews and meta-analyses of randomized controlled studies conclude that virtual patient simulations are consistently associated with higher learning outcomes compared to other educational methods. However, we cannot assume that students will learn from simply exposing students to the simulations. The instructional features that are…
Descriptors: Medical Education, Medical Students, Computer Simulation, Patients
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Stathakarou, Natalia; Scully, Marcel Leon; Kononowicz, Andrzej A.; Henningsohn, Lars; Zary, Nabil; McGrath, Cormac – Education Sciences, 2018
Introduction: Massive Open Online Courses (MOOCs) are an increasingly popular form of education in health professional education. VPs have been introduced in MOOCs to increase interactivity. There is a lack of research in understanding the reasons behind high dropout rates in MOOCs. We explored how learners interact with VPs and compared the…
Descriptors: Online Courses, Medical Education, Medical Students, Computer Uses in Education
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Alinier, Guillaume – Simulation & Gaming, 2011
The development of appropriate scenarios is critical in high-fidelity simulation training. They need to be developed to address specific learning objectives, while not preventing other learning points from emerging. Buying a patient simulator, finding a volunteer to act as the patient, or even obtaining ready-made scenarios from another simulation…
Descriptors: Medical Education, Computer Simulation, Health Services, Teaching Methods
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Garrett, Bernard M.; Jackson, Cathryn; Wilson, Brian – Interactive Technology and Smart Education, 2015
Purpose: This paper aims to report on a pilot research project designed to explore if new mobile augmented reality (AR) technologies have the potential to enhance the learning of clinical skills in the lab. Design/methodology/approach: An exploratory action-research-based pilot study was undertaken to explore an initial proof-of-concept design in…
Descriptors: Electronic Learning, Physical Environment, Simulated Environment, Synthesis
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Dieckmann, Peter; Friis, Susanne Molin; Lippert, Anne; Ostergaard, Doris – Simulation & Gaming, 2012
Introduction: This study describes (a) process goals, (b) success factors, and (c) barriers for optimizing simulation-based learning environments within the simulation setting model developed by Dieckmann. Methods: Seven simulation educators of different experience levels were interviewed using the Critical Incident Technique. Results: (a) The…
Descriptors: Foreign Countries, Computer Simulation, Barriers, Objectives
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2018
For the forty-first time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Kansas City, Missouri. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains twenty-seven…
Descriptors: Instructional Design, Educational Technology, Technology Uses in Education, Higher Education
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Rosen, Michael A.; Hunt, Elizabeth A.; Pronovost, Peter J.; Federowicz, Molly A.; Weaver, Sallie J. – Journal of Continuing Education in the Health Professions, 2012
Introduction: Education in the health sciences increasingly relies on simulation-based training strategies to provide safe, structured, engaging, and effective practice opportunities. While this frequently occurs within a simulation center, in situ simulations occur within an actual clinical environment. This blending of learning and work…
Descriptors: Evidence, Best Practices, Program Development, Work Environment
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Yusoff, Rasimah Che Mohd; Zaman, Halimah Badioze; Ahmad, Azlina – Australasian Journal of Educational Technology, 2011
This study investigates users' perception and acceptance of mixed reality (MR) technology. Acceptance of new information technologies has been important research area since 1990s. It is important to understand the reasons why people accept information technologies, as this can help to improve design, evaluation and prediction how users will…
Descriptors: Foreign Countries, Intention, Biomedicine, Science Instruction
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Holzinger, Andreas; Kickmeier-Rust, Michael D.; Wassertheurer, Sigi; Hessinger, Michael – Computers & Education, 2009
Objective: Since simulations are often accepted uncritically, with excessive emphasis being placed on technological sophistication at the expense of underlying psychological and educational theories, we evaluated the learning performance of simulation software, in order to gain insight into the proper use of simulations for application in medical…
Descriptors: Physiology, Learning Theories, Medical Education, Medical Students
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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
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Kennedy, Gregor E.; Judd, Terry S. – Computers & Education, 2007
Developers of educational multimedia programs have expectations about the way in which they will be used. These expectations can be broadly categorised as either functional (primarily related to the interface) or educational (related to learning designs, processes and outcomes). However, student users will not always engage with educational…
Descriptors: Learning Processes, Medical Students, Multimedia Materials, Computer Software
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Miller, Max D. – Medical Teacher, 1987
Simulations provide practice in aspects of care without harm or inconvenience to the actual patient. Five types of simulations have been identified that vary in their fidelity to real situations - written simulations, three-dimensional models, computer-based patient management problems, multi-media approaches and simulated patients. Uses and…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Uses in Education, Educational Technology
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