基于数据关联挖掘的英语教学效果评价

Hui Shu
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引用次数: 2

摘要

认知教学法认为学生是教学的中心,教学应以学生的活动为中心。英语教学应该以学生的实践为基础。应该让学生通过积极参与大量的语言活动来掌握运用外语的能力。根据建构主义学习理论、认知理论和人本主义学习理论,提出了一种基于计算机多媒体网络环境的协同学习环境模型,并对其实现模式进行了详细的具体描述。本文采用数据关联挖掘算法对学习效果的大数据进行处理和分析。实验结果表明,该方法比传统的英语教学评价方法更准确、更有针对性。该方法对英语教学效果的评价具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
English Teaching Effect Evaluation Based on Data Association Mining
Cognitive approach holds that students are the center of teaching, and teaching should focus on students' activities. English teaching should be based on students' practice. Students should be allowed to master the ability of using foreign languages by participating in active and large amount of language activities. According to constructivism learning theory, cognitive theory and humanistic learning theory, this paper puts forward a collaborative learning environment model based on computer multimedia network environment, and details the specific description of the implementation mode. In this paper, the data association mining algorithm is used to process and analyze the big data of learning effect. The experimental results show that the method is more accurate and more targeted than the traditional methods in English teaching evaluation. This method has a certain reference value for the evaluation of English teaching effect.
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