Analysis on Cognitive Thinking of an Assessment System Using Revised Bloom's Taxonomy

Abstract

Teaching and learning is an important process in any educational system to evaluate the performance of both students and the entire system. To meet the great demands for educators and to fill the gap between teaching-learning process and learning outcomes, a great shift is required in an assessment system. Assessment being an important performance measure, it should give an opportunity to students to explore their thinking skills. The present study focuses on analyzing the thinking skills present in an assessment using revised Blooms Taxonomy standards. Three different categories of courses have been considered for the present analysis to study the different thinking skills that are present in an assessment paper. It also analyzes the complexity level present in an assessment and to know the quality of the system. Present study uses a weight-based data mining approach to classify the Blooms categories and the thinking levels associated with that. This study also reveals that the identifying the thinking levels is not same for all kinds of course types.