Embedded Training for Complex Information Systems

Abstract : One approach to providing affordable operator training in the workplace is to augment applications with intelligent embedded training systems (ETS). Intelligent embedded training is highly interactive: trainees practice realistic problem-solving tasks on the prime application with guidance and feedback from the training system. This article makes three contributions to the theory and technology of ETS design. First, we describe a framework based on Normanâs "stages of user activity" model for defining the instructional objectives of an ETS. Second, we demonstrate a non-invasive approach to instrumenting software applications, thereby enabling them to collaborate with an ETS. Third, we describe a method for interpreting observed user behavior during problem solving, and using that information to provide task-oriented hints on demand. (http://aied.inf.ed.ac.uk/members99/archive/vol_10/cheikes/full.html)
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Article dans une revue
International Journal of Artificial Intelligence in Education (IJAIED), 1998, 10, pp.314-334
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Brant A Cheikes, Marty Geier, Rob Hyland, Frank Linton, Annette S. Riffe, et al.. Embedded Training for Complex Information Systems. International Journal of Artificial Intelligence in Education (IJAIED), 1998, 10, pp.314-334. 〈hal-00197347〉



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