基于数据挖掘算法的智能模糊英语教学系统构建

Yang Gao
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引用次数: 1

摘要

随着我国国际地位的提高和与其他国家交流的密切,英语成为世界通用语言。国家和社会迫切需要具有综合素质的复合型人才,越来越重视英语的实用技能。在这种情况下,一个智能模糊系统(IFS)的英语教学被创建。该系统利用数据挖掘技术分析学生的学习效果,优化教学模式。本文采用访谈法了解学生英语学习情况,构建英语教学IFS,并利用数据挖掘中的在线推荐算法分析系统中学生英语学习情况的数据。分析结果表明,大多数学生通过业余时间看英语电影来学习英语,占37%,而通过其他方法学习英语的学生最少,占11%。
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Construction of an Intelligent Fuzzy System for English Teaching Based on Data Mining Algorithms
With the improvement of my country's international status and closer exchanges with other countries, English is the universal language of the world. The country and society urgently need compound talents with comprehensive qualities and pay more attention to the practical skills of English. In this case, an intelligent fuzzy system(IFS) for English teaching was created. The system uses data mining technology to analyze the learning effects of students and optimize the teaching mode. This paper uses interviews to understand the students' English learning situation, constructs an English teaching IFS, and uses the online recommendation algorithm in data mining to analyze the data of the students' English learning situation in the system. The analysis results show that the majority of students learn English by watching English movies in their spare time, accounting for 37%, and the least number of students learning English by other methods, accounting for 11%.
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