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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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Washburn, Micki; Zhou, Shu – Journal of Social Work Education, 2018
Technology-based simulations provide vehicles for social work students to practice clinical skills in online environments. This teaching note reviews 2 simulation tools educators may consider implementing in their training programs: virtual patients and Second Life. The current literature is presented discussing the use of these simulations in…
Descriptors: College Students, Social Work, Technology Uses in Education, Computer Simulation
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Thies, Anna-Lena; Weissenstein, Anne; Haulsen, Ivo; Marschall, Bernhard; Friederichs, Hendrik – Journal of Technology and Science Education, 2014
Simulation as a tool for medical education has gained considerable importance in the past years. Various studies have shown that the mastering of basic skills happens best if taught in a realistic and workplace-based context. It is necessary that simulation itself takes place in the realistic background of a genuine clinical or in an accordingly…
Descriptors: Medical Education, Simulated Environment, Medical Students, Foreign Countries
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Cendan, Juan; Lok, Benjamin – Advances in Physiology Education, 2012
The demonstration of patient-based cases using automated technology [virtual patients (VPs)] has been available to health science educators for a number of decades. Despite the promise of VPs as an easily accessible and moldable platform, their widespread acceptance and integration into medical curricula have been slow. Here, the authors review…
Descriptors: Medical Education, Medical Schools, Patients, Virtual Classrooms
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Silverstein, Jonathan C.; Ehrenfeld, Jesse M.; Croft, Darin A.; Dech, Fred W.; Small, Stephen; Cook, Sandy – Journal of Computing in Higher Education, 2006
Understanding spatial relationships among anatomic structures is an essential skill for physicians. Traditional medical education--using books, lectures, physical models, and cadavers--may be insufficient for teaching complex anatomical relationships. This study was designed to measure whether teaching complex anatomy to medical students using…
Descriptors: Medical Education, Medical Students, Computer Simulation, Physicians
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Petersson, Helge; Sinkvist, David; Wang, Chunliang; Smedby, Orjan – Anatomical Sciences Education, 2009
Despite a long tradition, conventional anatomy education based on dissection is declining. This study tested a new virtual reality (VR) technique for anatomy learning based on virtual contrast injection. The aim was to assess whether students value this new three-dimensional (3D) visualization method as a learning tool and what value they gain…
Descriptors: Student Attitudes, Textbooks, Computer Simulation, Visualization
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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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Clauser, Brian E.; Ross, Linette P.; Clyman, Stephen G.; Rose, Kathie M.; Margolis, Melissa J.; Nungester, Ronald J.; Piemme, Thomas E.; Chang, Lucy; El-Bayoumi, Gigi; Malakoff, Gary L.; Pincetl, Pierre S. – Applied Measurement in Education, 1997
Describes an automated scoring algorithm for a computer-based simulation examination of physicians' patient-management skills. Results with 280 medical students show that scores produced using this algorithm are highly correlated to actual clinician ratings. Scores were also effective in discriminating between case performance judged passing or…
Descriptors: Algorithms, Computer Assisted Testing, Computer Simulation, Evaluators