智慧校园学生英语统考成绩智能预测研究

Intelligent prediction of students'English test scores in smart campus

英语作为全世界最多国家使用的语言,已然成为了各国交流沟通的桥梁,从而使得我国对于英语的教育也越发重视。为提高我国英语教育水平,本研究结合了现代计算机技术,在C4.5决策树优化算法的基础上对该算法进行改进,并使用改进后C4.5决策树优化算法对学生英语成绩进行了研究与预测。实验结果表明,改进后的C4.5决策树优化算法计算得到的预测英语合格率为72.3%,而实际英语合格率为73.5%,二者之间仅差1.2%,证明了本研究所采用方法的科学性、正确性以及实用性。希望通过本研究,可以将本研究提出的方法运用于实际教学过程中,为提高我国学生的英语水平起到一定的推动作用。

as the most widely used language in the world, English has become a bridge of communication between countries, which makes our country pay more and more attention to English education. In order to improve the level of English education in China, this study combines modern computer technology, improves the C4.5 decision tree optimization algorithm, and uses the improved C4.5 decision tree optimization algorithm to study and predict students’ English scores. The experimental results show that the prediction English pass rate calculated by the improved C4.5 decision tree optimization algorithm is 72.3%, while the actual English pass rate is 73.5%, and the difference between the two is only 1.2%. It proves that the method used in this study is scientific, correct and practical. It is hoped that through this study, the methods proposed in this study can be applied to the actual teaching process, and play a certain role in promoting the English level of Chinese students.