Simulation-Based Learning

Yet what is characteristic for simulation-based learning is the discovery that system representations are often to complex and difficult for a novice to facilitate his learning. Even though principles of human cognitive structure and methods of reducing cognitive load were taken into account while designing a simulation, it has been shown that learners are still frequently unable to successfully relate multiple representation elements to each other. This issue can be described in the context of prior knowledge as well. Two successful ways of dealing with this issue have been proposed so far:

[1]  R M Harden,et al.  Adoption and integration of simulation‐based learning technologies into the curriculum of a UK Undergraduate Education Programme , 2003, Medical education.

[2]  Vincent N. Lunetta,et al.  Simulations in science education , 1981 .

[3]  Yuying Guo,et al.  Explore Effective Use of Computer Simulations for Physics Education , 2008 .

[4]  Valerie J. Shute,et al.  A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown , 1990, Interact. Learn. Environ..

[5]  Luigi Sarti,et al.  Design and production of multimedia and simulation-based learning material , 1994 .

[6]  T. Jong,et al.  Supporting simulation-based learning; the effects of model progression and assignments on definitional and intuitive knowledge , 1998 .

[7]  Ton de Jong,et al.  Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .

[8]  Daniel Bodemer.  Enhancing Simulation-Based Learning through Active External Integration of Representations , 2004 .

[9]  J. Weller,et al.  Simulation-based training to improve acute care skills in medical undergraduates. , 2004, The New Zealand medical journal.

[10]  William C McGaghie,et al.  Effect of practice on standardised learning outcomes in simulation‐based medical education , 2006, Medical education.

[11]  Janine Swaak,et al.  Support for simulation-based learning: The effects of model progression and assignments on learning about oscillatory motion , 1996 .

[12]  C. Bekes.  Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills , 2007 .

[13]  Janine Swaak,et al.  Self-directed learning in simulation-based discovery environments , 1998, J. Comput. Assist. Learn..

[14]  Joseph P. Akpan,et al.  Issues Associated with Inserting Computer Simulations into Biology Instruction: A Review of the Literature , 2001 .

[15]  A. Ziv,et al.  Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review , 2005, Medical teacher.

[16]  E. Soloway,et al.  Causal Model Progressions as a Foundation for Intelligent Learning Environments , 1990 .

[17]  A. Ziv,et al.  Simulation-based medical education: an ethical imperative. , 2006, Simulation in healthcare : journal of the Society for Simulation in Healthcare.

[18]  T. Jong,et al.  Exploratory learning with a computer simulation for control theory: learning processes and instructional support , 1993 .

[19]  Leona Schauble,et al.  Scientific Reasoning Across Different Domains , 1992 .