BLOOM’S TAXONOMY-BASED EXAMINATION QUESTION PAPER GENERATION SYSTEM

Abstract

Assessment process is an essential activity in educational institutions to test performance of the learners. The essence of examination papers is directly linked to evaluation of quality of the graduates. Nevertheless, designing question papers is laborious task for the academics. This paper is aimed to research and analyze current assessment process and build automated examination question paper generation system (AQPGS) to replace manual method practiced by academics. AQPGS prototype is intended to enable academics to produce quality examination papers on the click, that are unbiased and aligned with learning outcomes, while saving the time and resources in the assessment process. System prototype was developed in Visual Basic language and connects to MS Access database. It includes MCQ, True/False and open-ended questions. Mapping algorithm is integrated for automated categorization of open-ended questions according to Bloom’s Taxonomy hierarchy, using keywords query and random selection of questions. Generated paper can be saved into text document and edited. Key Terms: Assessment System, Automation, Question Paper Generator, Bloom’s Taxonomy System , Mapping Algorithm.