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Hierarchical fuzzy rule-based model for teaching performance evaluation

Ramli, Azizul Azhar and Arbaiy, Nureize Hierarchical fuzzy rule-based model for teaching performance evaluation. In: International Conference on ICT for the Muslim World ICT4M 2006, 21-23 November 2006, Kuala Lumpur.

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Abstract

The evaluation of teaching process in Higher Leaning Institutions (HLI) is an important policy for measuring teaching performance. The output of this process has two primary purposes - teaching improvement and administrative decision making. Nevertheless, two issues have been raised; the instrument characteristic used to gather the values and the technique used in handling the survey data. In traditional practice, the ordinal scale is used for schematic marking and statistical technique was implemented to analyze the data. In this research, a hierarchical Fuzzy Rule-Based (FRB) model was designed for teaching evaluation process. This model incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from human knowledge and experience. It is argued that FRB approach is more flexible and may deal with imprecise data better. A hierarchical model for teaching evaluation considers the possible factors that influence a teaching evaluation weigh age. To ensure reliability and validity of output, the knowledge extraction must be done precisely with teaching and learning domain expertise. From this study, it is expected that the implementation of FRB system will provide an alternative way in handling various kind of approximate data in teaching evaluation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: fuzzy rule-based; teaching evaluation; membership function graph; fuzzy associative memory
Subjects: T Technology > T Technology (General)
Depositing User: Normajihan Abd. Rahman
Date Deposited: 28 Aug 2012 08:56
Last Modified: 28 Aug 2012 08:56
URI: http://eprints.uthm.edu.my/id/eprint/2684
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