基于数据挖掘算法的大学英语线上线下混合教学效果

Chao Wu
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引用次数: 7

摘要

混合式教学是将在线教学与传统教学相结合的一种教学方式,定义为“线上与线下”。通过这两种教学形式的有机结合,学生的学习可以由浅到深。因此,本文基于数据挖掘算法,设计了大学英语线上线下混合教学效果的方法。首先收集大学英语混合式教学资源,然后构建大学英语线上线下教学支持,对大学英语教学环境进行调试,最后设计基于数据挖掘算法的大学英语混合式教学模型,从而实现大学英语线上线下混合式教学。实验表明,本文设计的方法能够有效提高大学英语阅读能力。并具有一定的应用价值。
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Effect of Online and Offline Blended Teaching of College English Based on Data Mining Algorithm
Blended teaching is a kind of teaching that combines online teaching with traditional teaching, which is defined as “online and offline”. Through the organic combination of these two teaching forms, students’ learning can be from shallow to deep. Therefore, based on the data mining algorithm, this paper designs the method of College English online and offline blended teaching effect. First, it collects the College English blended teaching resources, then builds the College English online and offline teaching support, debugs the College English teaching environment, and finally designs the College English blended teaching model based on the data mining algorithm, so as to realize the College English online and offline blended teaching, The experiment shows that the method designed in this paper can effectively improve the reading ability of College English, and has certain application value.
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