AUTOMATIC QUESTION PAPER GENERATOR SYSTEM WITH BLOOM’S TAXONOMY CATEGORIZATION

Abstract

Examination process is an important activity for educational institutions to assess student performance. Thus the nature of the exam questions would determine the quality of the students produced by the institutions. Preparing the exam Questions is very challenging, tedious and time consuming for the instructors. Thus with the help of this project a solution is presented in form of Automatic Question Paper Generator System(QGS) which makes use of shuffling algorithm as a randomization technique. This system includes several modules like user administration, subject selection, Course Outcomes specification, question entry, question management, paper generation, and paper management. The design process performs the scrutiny and composes the examination paper using an efficient algorithm with a high rate of success. With this algorithm, the user needs to specify the subject, the question type and the Course Outcomes. From the entered input, the examination paper will be generated automatically. The final question paper will be stored as a .pdf file. 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. Key Words: Automation, Question Paper Generation, Randomization, Shuffling