Develop an Electronic Testing System Using Artificial Intelligence

Abstract

Recently, in evaluating students at universities and higher education institutions, depending on separate electronic testing systems, these systems depend on a bank of questions that such systems do not consider individual differences between many students as they only implement random selection.In this research, an electronic testing system was developed to pick test questions and assume significance for each particular questionusing Particle Swarm Optimization(PSO) .
The results show the variation in test question types that indicates individual differences between students and thus the opportunity for students to develop an optimal evaluation tool system.