Implementation of Modified Linear Congruent Methods in Randomizing Exam Questions to Optimize the Learning Environment

Linear congruent methods are pseudo-random number generator algorithms often used for randomizing exam questions. The problem with LCM is that the questions that appear will be repeated several times, making the exam ineffective. If we select an improper parameter in LCM, the system will raise the same question in the next period. In this study, we modify LCM by converting linear equations into logarithmic equations. Furthermore, the proposed modification makes the quasi-random results into a full period so that the randomization of the exam questions produces different questions. This LCM modification is applied to a question randomization application using Visual Basic 6.0 software.