Create an Online Exam System Using Genetic Algorithms

This study offers an online examination system based on genetic algorithm and further optimizes and modifies the architecture of the online examination system to address students' difficulties with online exams. Using the exam as the research object., an intelligent test-making model based on genetic algorithm is proposed., and the realization of genetic algorithm is described in detail process and key steps. This model is based on comprehensive analysis of the traditional online exam system's slow speed., low success rate., and low quality. The results demonstrate that the genetic algorithm-based online examination system can produce test papers in increasingly complicated circumstances. The online examination system has arrived at the most flexible option after years of operation and constant development. The test paper question type score error., the test paper average difficulty error., and the section test question distribution error are all zero when the fitness value is 99.666667. This exemplifies the reliability and efficiency of the online examination method, which can accommodate everyday professional requirements and boost instructional efficacy.