Enhanced IMS Metadata for Surgical Education Simulators
Abstract
Surgical education is an important field in medicine that is directly related with human health. Generally, this education is a time consuming and difficult process. Since surgeons will perform a job that significantly effects human life and quality of living with no room for error, the mentioned education has dramatic impact on patients, on their relatives, and also on society. In the literature, studies show that simulation environments potentially support and enrich this education. However, studies also show that even the several successful simulation tools being developed for the surgical education, still the integration of these technologies into the curriculum of education programs is not successfully established. This study proposes an enhanced IMS Metadata for surgical education simulation content. The proposed model is expected to help the surgical educators to better sequence this content in their curriculum and to better structure their courses. The authors believe that, by supporting these standards the simulation content developed for surgical education could be better defined by technically and pedagogically and in turn the success rate of the integration process of these technologies into current education programs will be improved.
Keywords
References
- Andersen, D. K. (2012). How Can Educators Use Simulation Applications to Teach and Assess Surgical Judgment. Academic Medicine, 87(7), 934-941.
- Andersson, P. (2007). The Role of Visual-spatial Ability and Working Memory in Image Guided Simulator Performance (Doctoral dissertation, Umeå University).
- Berkenstadt, H., Ziv, A., Barsuk, D., Levine, I., Cohen, A., & Vardi, A. (2003). The use of advanced simulation in the training of anesthesiologists to treat chemical warfare casualties. Anesthesia & Analgesia, 96(6), 1739-1742.
- Cereci, I., Cagiltay, N.E., Berker, M. (2013). Technology enhanced surgery education environments: requirements and system models, International Workshop on Innovative Simulation for Healthcare, IWISH 2013, 25-27 September, Athens, Greece.
- Chang, W. C., Hsu, H. H., Smith, T. K., & Wang, C. C. (2004). Enhancing SCORM metadata for assessment authoring in e-Learning. Journal of Computer Assisted Learning, 20(4), 305-316.
- Cotin, S., Delingette, H., & Ayache, N. (2000). A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation. The Visual Computer, 16(8), 437-452.
- DaRosa, D. A., Skeff, K., Friedland, J. A., Coburn, M., Cox, S., Pollart, S., ... & Smith, S. (2011). Barriers to effective teaching. Academic Medicine, 86(4), 453-459.
- Dietze, S., Sanchez-Alonso, S., Ebner, H., Yu, H. Q., Giordano, D., Marenzi, I., & Nunes,
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
December 24, 2015
Submission Date
December 16, 2015
Acceptance Date
-
Published in Issue
Year 2015 Volume: 1 Number: 3