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Impact of the Internet on the Teaching Effect of Higher Education Based on Big Data Analysis

机译：互联网对基于大数据分析的高等教育教学效果的影响

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摘要

This paper mainly uses the reliability test of the scale to test the questionnaire survey. The four factors are the teacher factor scale, the student factor scale, the learning environment factor scale, and the classroom interaction effectiveness measure index scale. Reliability test is performed on the table. If the variable is greater than 0.7, the reliability is good, and the principal component principle is used to evaluate the students' different learning situations as a whole. In terms of experiments, this paper mainly selects two classes for a school. One for the control class is traditional teaching, and the other is an experimental class, which uses the Internet to integrate traditional education and teach separately. It is mainly discussed in terms of the number of classroom questions, participation in discussions, the number of pre-class previews, online answer scores, homework scores, and overall evaluation scores. The experimental class scores are better than the control class. But in terms of the number of pre-class previews, the control class is higher than the experimental class. Therefore, as far as the integration of the Internet into traditional education and teaching, it may cultivate students' inertia and test their consciousness. And after the integration of the Internet into traditional teaching, students' satisfaction with learning is higher than that of traditional teaching, which also greatly promotes the integration of the Internet into traditional teaching.
机译：本文主要使用规模的可靠性测试来测试问卷调查。四个因素是教师因子规模，学生因子规模，学习环境因子规模，以及课堂交互效果测量指标规模。在表上执行可靠性测试。如果变量大于0.7，则可靠性好，并且主要成分原理用于评估一个整体学生的不同学习情况。在实验方面，本文主要为学校选择两类。一个用于控制类是传统教学，另一个是一个实验课，它使用互联网将传统教育整合并分开教授。主要讨论课堂问题的数量，参与讨论，课前预览的数量，在线回答分数，家庭作业分数以及整体评估分数。实验类别得分优于控制类。但就预级预览的数量而言，控制类高于实验类。因此，就互联网整合到传统教育和教学中，它可能会培养学生的惯性并测试他们的意识。互联网整合到传统教学后，学生对学习的满足高于传统教学，这也极大地促进了互联网将互联网融入传统教学。

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