An Examination Question Paper Preparation System with Content-Style Separation and Bloom's Taxonomy Categorisation

Most educators use WYSIWYG word processor applications to prepare examination question papers. Due to limitations of these software, however, educators often spend a disproportinate amount of time formatting their question papers to conform to institutional formatting guidelines, instead of focusing on the content and quality of the questions themselves. This project therefore intends to develop an examination question paper preparation system based on content-style separation principles, using XML, XSLT and LATEX technologies. Using this system, educators will be able to set examination questions without having to consider their formatting. Instead, the system will take care of the formatting layout of the question paper with consistent adherance to given institutional style guides. In addition, the system will provide automatic detection of Bloom's Taxonomy level of each question, to aid educators in preparing examinations that are aligned to learning outcomes.