ملخص البحث :

Recently, in evaluating students at universities and higher education institutions , depending on separate electronic testing systems, these systems depend on a ban k of questions that such systems do not consider individual differences between m any students as they only implement random selection.In this research, an electron ic 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 d ifferences between students and thus the opportunity for students to develop an opt imal evaluation tool system.

ملخص البحث :

In this study, Google Forms are used for assembling the data with free ability that carried by Google depending on artificial intelligent. Employers with a google description can emerge forms by an interface that could be joined by email. The service needs the onlookers to have contact to the Internet. Google Forms can be corrected by multiple people and products simple. However, the main drawbacks of Google Form that it consumed time for education. In addition when many of consumers are uploading and downloading the same time, the speed response of Google Form will very sluggish. To enhance the Google Form performance, Adaptive Neuro Fuzzy Inference System (ANFIS) is used to optimize the system. The advantages of the neuro-fuzzy controller are that it determines the number of rules automatically, reduces computational time, learns faster and produces lower errors than other methods.