Title
Contrasting Cases: A Strategy For Advanced Learning Using Simulation-Based Training
Abstract
Scenario-based training (SBT) as a medium for facilitating higher order or advanced learning has not been exploited fully. This paper argues for the use of contrasting cases to facilitate advanced learning within practice environments, where advanced learning is characterized by well differentiated and organized knowledge that can be generalized and abstracted. The rationale and guidance for incorporating contrasting cases into SBT is provided. A learning framework is leveraged to further describe how the method of contrasting cases can be adapted to address the challenges of learners at different stages of skill acquisition.
Publication Date
1-1-2009
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
3
Number of Pages
1935-1938
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1518/107118109x12524444844677
Copyright Status
Unknown
Socpus ID
77951612648 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77951612648
STARS Citation
Fowlkes, Jennifer; Norman, Joseph W.; Schatz, Sae; and Stagl, Kevin C., "Contrasting Cases: A Strategy For Advanced Learning Using Simulation-Based Training" (2009). Scopus Export 2000s. 12666.
https://stars.library.ucf.edu/scopus2000/12666