Supporting Web-Based Instructional Design with Fuzzy Approaches for Assessing Attitude Surveys

Abstract

During the development process of an instructional design, attitude surveys are usually obtained from different groups of evaluators. Since the number of evaluators is small, it is difficult to obtain any significant result by using conventional statistical methods. This study utilizes fuzzy theory to overcome the difficulties caused by the small number of samples. In order to fuzzify the evaluators’ response on a certain question, computerized questionnaire design with continuous scales is introduced. Li and Yen’s method and Sugeno’s measure/integral are applied to investigate the overall quality of an instructional design. To verify the degree of agreement between different groups of evaluators, a method used to measure the degree of agreement is proposed. An example is given to demonstrate the actual computational process of an attitude survey by using the approach proposed in this paper.