Effectiveness of an expert system for teaching casting defect diagnosis in engineering and technical education Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/8k71nk51k

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  • The purpose of this study was to determine if there was a significant difference in the amount of technical subject matter learned during a fixed period of instruction by students working with a computer expert system and students working with human experts from a technical field. All students participating in the study were enrolled in a manufacturing processes course at Oregon State University during the spring term, 1986, and, as part of the course were learning to diagnose defective castings. Prior to the experiment, students were given initial instruction in casting processes and randomly divided into two experimental groups for treatment. The students in Group I completed a laboratory exercise that provided opportunity for hands-on practice diagnosing defective castings. They were given access to a laboratory instruction manual and allowed to ask for assistance from two individuals who were present, both experts in casting processes . Students in Group II completed the same exercise with the same defective castings and lab instruction manuals. They were not, however, given access to human experts; they instead worked with a computer expert system, TELECAST, that interacts with the user and provides diagnoses for defective castings. Students' knowledge of casting defect diagnosis was evaluated with a test instrument prior to the treatment and again following treatment. The analysis of covariance was the statistical tool used to analyze the test results. Statistical analysis revealed there was no difference in the amount learned by the two groups of students (calculated F = .002). The TELECAST expert system proved to be no more and no less effective than the human experts at effecting learning.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-06-20T19:25:08Z (GMT) No. of bitstreams: 1 RuyleKimT1987.pdf: 1376668 bytes, checksum: a3cec6c4d17e4b85630ece773bad2193 (MD5)
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-07-23T21:24:56Z (GMT) No. of bitstreams: 1 RuyleKimT1987.pdf: 1376668 bytes, checksum: a3cec6c4d17e4b85630ece773bad2193 (MD5)

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