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Katz, Sandra; Lesgold, Alan – 1992
Student modeling--the task of building dynamic models of student ability--is fraught with uncertainty, caused by such factors as multiple sources of student errors, careless errors and lucky guesses, learning and forgetting. Within the context of the Sherlock intelligent tutoring systems project, we have been experimenting with various ways of…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Electronics
Darabi, Abbas; Nelson, David W. – Association for Educational Communications and Technology, 2004
Thirty six senior students in chemical engineering were randomly assigned to three treatment groups in an experimental study that examined the impact of different instructional strategies for troubleshooting malfunctions in a computer-based simulation of a chemical processing plant. In two groups, different types of worked examples,…
Descriptors: Prior Learning, Troubleshooting, Teaching Methods, Chemical Engineering
Barker, Keith – Aspects of Educational and Training Technology Series, 1992
Discusses classroom computer applications in engineering: a student learning assessment program providing remedial work, positive reinforcement, teacher information for follow-up lesson preparation, and a record-keeping matrix and an expert trouble-shooting system that allows students to debug their own circuit designs by testing simulated…
Descriptors: Computer Assisted Design, Computer Assisted Instruction, Computer Simulation, Debugging (Computers)
Flesher, Jeffrey W. – 1993
Electronic troubleshooting expertise was explored in the three contexts (design, production, and repair) that reflect distinct problem solving task environments. The purpose of the effort was to provide a more precise definition of the boundaries of expertise in electronics troubleshooting and the relationship of context to the development of…
Descriptors: Ability, Computer Simulation, Context Effect, Electronics Industry