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Bayesian Networks in Educational Assessment

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HYDRIVE is an intelligent tutoring/assessment system designed to facilitate the development of troubleshooting skills for the F-15 aircraft’s hydraulics systems. It was developed at ETS in 1990-1994 for the U.S. Air Force's Armstrong Laboratories. Drew Gitomer was the Principal Investigator for the Hydrive project, and Linda Steinberg was Project Manager.

Hydraulics systems are involved in the operation of flight controls, landing gear, the canopy, the jet fuel starter, and aerial refueling. HYDRIVE simulates many of the important cognitive and contextual features of troubleshooting on the flightline. A problem begins with a video sequence in which a pilot, who is about to take off or has just landed, describes some aircraft malfunction to the hydraulics technician (e.g., the rudders do not move during pre-flight checks). HYDRIVE’s interface allows the student to perform troubleshooting procedures by accessing video images of aircraft components and acting on those components; to review on-line technical support materials, including hierarchically organized schematic diagrams; and to make instructional selections at any time during troubleshooting, in addition to or in place of instruction the system itself recommends. HYDRIVE’s system model tracks the state of the aircraft system, including changes brought about by user actions.

A research report that focuses on the role of probability-based reasoning in HyDrive is available from CRESST, at : The Role of Probability-Based Inference in an Intelligent Tutoring System, CSE Technical Report 413, 1996, by Robert Mislevy and Drew Gitomer.

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Page last modified on March 01, 2007, at 05:28 PM