Learning with simulations in medical education validity and design of learning settings in particular contexts
Authors: 
Ad�la�de Blavier, Jan Zottmann, Frank Fischer, Annette Aboulafia, Lucile Vadcard, Vanda Luengo, Peter Dieckmann, Marcus RallAuthors Info & Claims
Ad�la�de Blavier, Jan Zottmann, Frank Fischer, Annette Aboulafia, Lucile Vadcard, Vanda Luengo, Peter Dieckmann, Marcus RallAuthors Info & ClaimsPages 198 - 205
Abstract
The aim of this symposium is to initiate the discussion on learning with simulations in the medical sector. Indeed, this domain represents a very complex and dynamic environment dealing with a great variety of knowledge (declarative, pragmatic, procedural, gestural, etc.) that can be learned under diverse pedagogical forms. The four presentations describe various forms of computer-based technology, which aim to enhance the teaching and learning capabilities of doctors mostly in the form of 3D visualisation, full-scale simulation and haptic technology. They focus on research conducted in the area of anaesthesia and surgery. These studies emphasize on the necessity to adapt the learning environment to the objective of the training (validity of the learning situations). If the presentations are specific to the medical domain, their methodological and theoretical approaches can be generalized and used in other learning situations.
References
[1]
Blavier, A., Gaudissart, Q., Cadi�re, G. B., & Nyssen, A. S. (2006). Impact of 2D and 3D vision on performance of novice subjects using da Vinci robotic system. Acta Chirurgica Belgica, 106, 662-664.
[2]
Blavier, A., Gaudissart, Q., Cadi�re, G. B., & Nyssen, A. S. (2007a). Comparison of learning curves in classical and robotic laparoscopy according to the viewing condition. American Journal of Surgery, 194, 115-121.
[3]
Blavier, A., Gaudissart, Q., Cadi�re, G. B., & Nyssen, A. S. (2007b). Perceptual and instrumental impacts of robotic laparoscopy on surgical performance. Surgical Endoscopy, 21, 1875-1882.
[4]
Dang, T., Annaswamy, T. M., & Srinivasan, M. A. (2001). Development and evaluation of an epidural injection simulator with force feedback for medical training. Studies in Health Technology and Informatics, 81, 97-102. 11317827 { - indexed for MEDLINE}
[5]
Ericsson, K. A., Krampe, R. T., & Tesche-Rmer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363-406.
[6]
F�rber, M., Heller, J., & Handels, H. (2007). Simulation and training of lumbar punctures using haptic volume rendering and a 6 DOF haptic device. Proceedings of SPIE, Vol. 6509, 65090F.
[7]
Forbes, T. L., DeRose, G., Kribs, S. W., & Harris, K. A. (2004). Cumulative sum failure analysis of the learning curve with endovascular abdominal aortic aneurysm repair. Journal of Vascular Surgery, 39, 102-108.
[8]
Gallagher, A. G., Ritter, E. M., & Satava, R. M. (2003). Fundamental principles of validation, and reliability: rigorous science for the assessment of surgical education and training. Surgical Endoscopy, 17, 1525-1529.
[9]
Gorman, P., Krummel, T., Webster, R., Smith, M., & Hutchens. D. (2000). A Prototype Haptic Lumbar Puncture Simulator. In J. D. Westwood, H. M. Hoffman, G. T. Mogel, R. A. Robb, & D. Stredney (Eds.), Medicine Meets Virtual Reality (pp. 106-110). Amsterdam: IOS Press.
[10]
Hamilton, E. C., Scott, D. J., Fleming, J. B., Rege, R. V., Laycock, R., Bergen, P. C., Tesfay, S. T., & Jones, D. B. (2002). Comparison of video trainer and virtual reality training systems on acquisition of laparoscopic skills. Surgical Endoscopy, 16, 406-411.
[11]
Heller, J., Steiner, C., Hockemeyer, C., & Albert, D. (2006). Competence-Based Knowledge Structures for Personalised Learning. International Journal on E-Learning, 5, 75-88.
[12]
Howard, S. K., Gaba, D., Fish, K. J., Yang, G. C. B., & Sarnquist, F. H. (1992). Anesthesia crisis resource management training: Teaching anesthesiologists to handle critical incidents. Aviation, Space & Environmental Medicine, 63(9), 763-770.
[13]
Issenberg, S., McGaghie, W., Hart, I., Mayer, J., Felner, J., Petrusa, E., Waugh, R., Brown, D., Safford, R., Gessner, I., Gordon, D., & Ewy, G. (1999). Simulation technology for health care professional skills training and assessment. JAMA, 282, 861-866.
[14]
King, A. (2007). Scripting collaborative learning processes: A cognitive perspective. In F. Fischer, I. Kollar, H. Mandl, & J. M. Haake (Eds.), Scripting computer supported communication of knowledge: Cognitive, computational and educational perspectives (pp. 13-37). New York, NY: Springer.
[15]
Kollar, I., Fischer, F., & Hesse, F. W. (2006). Computer-supported collaboration scripts - a conceptual analysis. Educational Psychology Review, 18(2), 159-185.
[16]
Luengo, V., Mufti-Alchawafa, D., Vadcard, L., & Vu Minh, C. (2007). Design of adaptive surgery learning environment with bayesian networks. INTED2007. Proceedings of the International Technology, Education and Development Conference. Valencia, Spain.
[17]
Magill, J., Anderson, B., Anderson, G., Hess, P., & Pratt, S. (2004). Multi-Axis Mechanical Simulator for Epidural Needle Insertion. In S. Cotin & D. N. Metaxas (Eds.), Proceedings of the ISMS 2004 (pp. 267-276). Berlin: Springer.
[18]
Marotta, J. J., Kruyer, A., & Goodale, M. A. (1998). The role of head movements in the control of manual prehension. Experimental Brain Research, 120(1), 134-138.
[19]
Morgan, P. J., Cleave-Hogg, D., McIlroy, J., & Devitt, H. (2002). Simulation Technology: A Comparison of Experiential and Visual Learning for Undergraduate Medical Students Anesthesiology, 96, 10-16.
[20]
Rall, M., & Gaba, D. M. (2005). Human Performance and Patient Safety. In R. D. Miller (Ed.), Anesthesiology. Baltimore: Lippincott.
[21]
Romero, C., Ventura, S., Gibaja, E. L., Herv�s, C., & Romero, F. (2006). Web-based adaptive training simulator system for cardiac life support. Artificial Intelligence in Medicine, 38(1), 67-78.
[22]
Rummel, N., & Spada, H. (2005). Learning to collaborate: An instructional approach to promoting collaborative problem solving in computer-mediated settings. Journal of the Learning Sciences, 14(2), 201-241.
[23]
Shaffer, D. W., Dawson, S. L., Meglan, D., Cotin, S., Ferrell, M., Norbash, A., & Muller, J. (2001) Design principles for the use of simulation as an aid in interventional cardiology training. Minimal Invasive Therapy & Allied Technology, 10(2), 75-82.
[24]
Sidhu, R. S., Tompa, D., Jang, R., Grober, E. D., Johnston, K. W., Reznick, R. K., & Hamstra, S. J. (2004). Interpretation of three-dimensional structure from two-dimensional endovascular images: Implications for educators in vascular surgery. Journal of Vascular Surgery, 39 (6), 1305-1311.
[25]
Stark, R., Gruber, H., Renkl, A., & Mandl, H. (1998). Instructional effects in complex learning: Do objective and subjective learning outcomes converge? Learning and Instruction, 8(2), 117-129.
[26]
Stegmann, K., Weinberger, A., & Fischer, F. (2007). Facilitating argumentative knowledge construction with computer-supported collaboration scripts. International journal of computer-supported collaborative learning, 2(4), 421-447.
[27]
Stone, R., & McCloy, R. (2004). Ergonomics in medicine and surgery. British Medical Journal, 328(7448), 1115-1118.
[28]
Swaak, J., van Joolingen, W. R., & de Jong, T. (1998). Supporting Simulation-based Learning: The Effects of Model Progression and Assignment on Definitional and Intuitive Knowledge. Learning and Instruction, 8(3), 235-252.
[29]
Vadcard, L., & Luengo, V. (2005) Interdisciplinary approach for the design of a learning environment. Paper presented at the E-Learn 2005 - World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Vancouver, Canada.
[30]
Weinberger, A., Ertl, B., Fischer, F., & Mandl, H. (2005). Epistemic and social scripts in computer-supported collaborative learning. Instructional Science, 33(1), 1-30.
[31]
Wilson, J. G., Pallotta, O. J., Reynolds, K. J., & Owen, H. (2003). An Epidural Injection Simulator. Paper presented at the World Congress on Medical Physics and Biomedical Engineering WC2003, Sydney, Australia.
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- Learning with simulations in medical education validity and design of learning settings in particular contexts
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June 2008
421 pages
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International Society of the Learning Sciences
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Published: 24 June 2008
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