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ERIC Number: EJ1144547
Record Type: Journal
Publication Date: 2017-Jul
Pages: 13
Abstractor: As Provided
ISSN: ISSN-1305-8215
EISSN: EISSN-1305-8223
Obtaining ABET Student Outcome Satisfaction from Course Learning Outcome Data Using Fuzzy Logic
Muhammad Hasan Imam; Imran Ali Tasadduq; Abdul-Rahim Ahmad; Fahd Aldosari
EURASIA Journal of Mathematics, Science & Technology Education, v13 n7 p3069-3081 Jul 2017
One of the approaches for obtaining the satisfaction data for ABET "Student Outcomes" (SOs) is to transform Course Learning Outcomes (CLOs) satisfaction data obtained through assessment of CLOs to SO satisfaction data. Considering the fuzzy nature of metrics of CLOs and SOs, a Fuzzy Logic algorithm has been proposed to extract SO satisfaction data from the CLO satisfaction data for any given course. The membership functions for the fuzzy variables namely CLOs, SOs and CLO-SO relationship have been defined with an implementable procedure to suit the problem. A set of 24 rules form the rule base of the fuzzy logic algorithm. The algorithm has been implemented and tested in MATLAB. An application example of a real-world problem has been presented.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A