多元线性回归对学生学习成绩影响因素的分析与建议

Proceedings of the 12th International Conference on Education Technology and Computers Pub Date : 2020-10-23 DOI:10.1145/3436756.3437053

Yiping Liufu, Xiangdong Meng, Jun Wang

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引用次数: 0

摘要

为应对新冠肺炎疫情，全国各地的大学都在利用互联网进行在线教学。本文在收集云南某高校网络课程信息的基础上，首先假设影响学习成绩的因素，对影响学习成绩的因素进行分析，并建立回归模型来预测各因素之间的相关性。为此，提出了相应的提高高校教学质量的措施和建议。

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Analysis and Suggestions on Influencing Factors of Student Achievement under Multiple Linear Regression

In response to COVID-19, universities across the country are using the Internet for online teaching. Based on the collection of online course information in a college in Yunnan, this article first assumes the factors that affect academic performance, analyzes the factors that affect academic performance, and establishes a regression model to predict the correlation between the factors. Therefore, corresponding measures and suggestions are put forward to improve the teaching quality of universities.

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Proceedings of the 12th International Conference on Education Technology and Computers

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