Web-Based Examination System Applying Bloom’s Taxonomy to Classify Educational Learning Objectives
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Abstract
Web-based examination system has been popular in the most common forms of technology- enhanced assessment. Bloom’s Taxonomy is widely used as a classification scheme to determine different levels of cognitive competencies. The objectives of this research are to 1) design and develop the web-based examination system applying Bloom’s taxonomy to classify educational learning objectives 2) examine the users’ satisfaction with the web-based examination system applying Bloom’s taxonomy to classify educational learning objectives. In addition, the system can analyze the item’s difficulty. There are 3 user groups. 1) teacher 2) student and 3) system administrator. The system architecture consists of 4 modules: 1) question management module 2) examination module 3) analysis module and 4) system management module. The results indicated that the average satisfaction level was good, the average was 4.25, the standard deviation was 0.76 and an average percentage of user satisfaction was 85.00. A system is a tool that analyzes the results of exams for cognitive competencies according to Bloom's Taxonomy. Teachers are aware of the learning problems of each student to adjust the teaching accordingly
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