基于数据挖掘算法的大学英语辅助教学系统研究

Xiaohui Wu
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摘要

本文根据信息技术的发展和高校教学、科研、社会管理的现状,根据高校数据的特点,设计了学生成绩预测的数据模型,实现了一个完整的基于B/S框架的大学英语辅助教学系统,最后以web作为前端显示决策数据。本文结合数据挖掘等信息技术的发展趋势,构建了大学英语辅助教学系统,优化了教学操作模块中的Apriori算法,并对学生高考英语成绩进行了分析。本文对该系统的研究与实现,对于提高大学英语辅助教学系统的应用水平和深度具有重要的现实意义。
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Research on College English Assisted Instruction System Based on Data Mining Algorithm
According to the development of information technology and the current situation of university teaching, scientific research and social management, this paper designs a data model for predicting students' achievement according to the characteristics of university data, and implements a complete college English assistant teaching system, which is based on B/S framework, and finally uses web as the front end to display decision data. Combining with the development trend of information technology, such as data mining, this paper constructs a college English auxiliary teaching system, optimizes Apriori algorithm in the teaching operation module, and analyzes students' English scores in college entrance examination. The research and implementation of this system in this paper is of great practical significance for improving the application level and depth of the college English auxiliary teaching system.
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