Design and Implementation of Oral English Test System Based on Data Mining Algorithm

Abstract

AbstractWith the diversification of spoken English tests and the steady increase in the number of people taking the test, the organization before the test and the grading work after the test have become more complicated. The various low-efficiency and high-cost burdens of the traditional examination model are becoming increasingly apparent. The spoken English test system designed in this paper based on data mining algorithm can solve the problems of high cost and time-consuming of traditional test mode. Among the 160 students, 15% have oral test scores of 40–50, 55.625% have scores of 30–40, 23.125% have scores of 15–30, and students with scores below 15 accounted for 6.25%, indicating that the performance of the system is good when reflecting the test results.KeywordsData mining algorithmOral English testSystem designTraditional test mode