Shuffling Algorithms for Automatic Generator Question Paper System

Abstract

Examination process is important activities for educational institutions to evaluate student performance. Thus the \nquality of the exam questions would determine the quality of the students produced by the institutions. Preparing \nexam questions is challenges, tedious and time consuming for the instructors. Usually the instructors keeping \ntheir own test bank in some form to help them prepare future exams. Current technologies help the instructors to \nstore the questions in computer databases. The issue arise is how the current technologies would also help the \ninstructors to automatically generate the different sets \nof questions from time to time without concern about \nrepetition and duplication from the pass exam while the \nexam bank growing. This paper describes the usage of \nshuffling algorithm in an Automatic Generator Question paper System (GQS) as a randomization technique for \norganising sets of exam paper. The results indicate shuffling algorithm could be used to overcome randomization \nissue for GQS.