Fuzzy Assessment of Digital Learning Program

Abstract

Purpose: This paper proposes an analytical method in assessment of Digital Learning Education Program. The different methods are better able to capture the intricacies and complexities of the nature and processes in acquiring education program than the traditional analysis. Empirical data on assessment of digital learning education policy and cognitive development are analyzed using the traditional and fuzzy analysis. The results are compared to demonstrate the effectiveness and advantages of the program. Design: Fuzzy categories and degree of membership are introduced first, followed by the definitions of fuzzy numbers, fuzzy mode, fuzzy median, and their relevant properties. Data were by collected by means of several structured questionnaires and field survey. In this thesis, this study investigate three topics: 1. Fuzzy statistical analysis using computer situation. 2. Construct the Digital Learning Education Program evaluation indicators. 3. Assess the expected benefits of the government program text. Findings: Students used the computer spent most of their time on games, personals and living information, while few used it for academic learning. This studying finding coincides with findings of foreign research papers. The experts who constructed the assessment indicators believed that parental management is the most important for manage students’ computer use. The students’ perceptions toward the expected benefits of Free Software use showed the greatest variations. Value: The Construction of the project program evaluation system should contain the status survey, the perceptions of the basic personnel, and the program objectives. Multi-faceted discussions of the project implementation situation were done. In the future, the students’ computer applications should continue to be tracked in order to serve as a reference for the promotion of policies.