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Impasse-Driven Tutoring for Reactive Skill Acquisition

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dc.contributor.author Hill, Randall W. Jr. en_US
dc.contributor.author Johnson, W. Lewis en_US
dc.date.accessioned 2004-10-06T02:34:20Z
dc.date.available 2004-10-06T02:34:20Z
dc.date.issued 1993-05 en_US
dc.identifier.citation Intelligent Computer-Aided Training and Virtual Environment Technology en_US
dc.identifier.citation NASA/Johnson Space Center, Houston, TX en_US
dc.identifier.clearanceno 93-0862 en_US
dc.identifier.uri http://hdl.handle.net/2014/35281
dc.description.abstract We are interested in developing effective performance-oriented training for the operation of systems that are used for monitor and control purposes. We have focused on one such system, the communications Link Monitor and Control (LMC) system used in NASA's Deep Space Network (DSN), which is a worldwide system for navigating, tracking and communicating with unmanned interplanetary spacecraft. The tasks in this domain are procedural in nature and require reactive, goal-oriented skills; we have previously described a cognitive model for problem solving that accounts for both novice and expert levels of behavior as well as how skill is acquired [Hill and Johnson, 1993]. Our cognitive modeling work in this task domain led us to make a number of predictions about tutoring that have influenced the design of the system described in this paper. en_US
dc.format.extent 489697 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.title Impasse-Driven Tutoring for Reactive Skill Acquisition en_US


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