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Paul M. Grunzke

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Publications by Paul M. Grunzke (bibliography)

1989

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Stricker, Andrew G., Grunzke, Paul M., Huck, Schuyler and Macomber, Gary (1989): Use of Microcomputers to Teach Human-Factors Engineering: New Directions. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 505-506.

“Assorted software used to assess and instruct students is presented. Both in-house and commercially available software were selected on the basis of their innovative approaches to the microcomputer learning experience. Also, software samples are presented which illustrate the teaching of cognitive-behavioral skills in addition to the domain knowledge.”

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Stricker, Andrew G. and Grunzke, Paul M. (1989): Student Designed Software and the Integrated Software System Project at the United States Air Force Academy. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. p. 1166.

“An integrated software system was designed within the Department of Behavioral Sciences and Leadership for the purpose of applying artificial intelligence technology to the teaching of problem-solving skills in applied research. Tutorials on the subject of research design and analysis were developed by cadets and integrated into the software system. The software is capable of collecting and storing tutorial performance data to build student learning histories. Using data in the learning histories, the software is capable of tailoring instruction to the unique strengths and weaknesses students have in the academic domain. Voice recognition and digitized speech technology is used by the software to facilitate user control and input.”

1987

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Flach, John M. and Grunzke, Paul M. (1987): Automatic Processing through the Back Door. In: Proceedings of the Human Factors Society 31st Annual Meeting 1987. pp. 1054-1056.

“This study examined performance in a consistent mapping visual search task in which subjects were required to make discriminations within the disjoint, target, and distractor sets as well as between the sets. The within set discrimination was variably mapped across blocks of trials. The results show strong practice effects consistent with the development of automatic processes.”

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