基于多元线性回归分析的在线学习媒体类型建模

Isma Muthahharah, Inayanti Fatwa
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引用次数: 0

摘要

本研究的目的是利用多元线性回归分析对学习媒体what App Group、Google Classroom、Zoom和YouTube的类型进行建模。多元线性回归分析是由一个连续变量和k个(两个或两个以上)自变量组成的线性回归模型。这种类型的研究是定量研究,可以模拟几种类型的在线学习。本研究的研究对象为STKIP Pembangunan印尼学生,样本为25人。数据来源于对学生进行问卷调查的原始数据。根据分析结果,得到的在线学习模型类型为= 70,376 + 0,357x1 + 0,322x2−0,279x1−0,321x2 + ε,贡献率为21.2%。从得到的回归模型来看,最好的学习模型或讲师在STKIP开发中经常使用的模型是WhatsApp Group和Google Classroom。除了多元线性回归分析之外,还可以使用其他方法对在线学习媒体的类型进行建模,例如LMS Moodle, Edmodo等媒体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling The Types of Online Learning Media Using Multiple Linear Regression Analysis
The research objective is to model the types of learning media Whats App Group, Google Classroom, Zoom and YouTube with multiple linear regression analysis. Multiple linear regression analysis is a linear regression model with one continuous variable and k (two or more) independent variables. This type of research is quantitative research that can model several types of online learning. The object of study in this research is STKIP Pembangunan Indonesia students with a sample of 25 people. The source of data comes from primary data by giving questionnaires to students. Based on the results of the analysis, the type of online learning model obtained is = 70, 376 + 0, 357x1 + 0, 322x2 − 0, 279x1 − 0, 321x2 + ε with a contribution of 21.2%. From the resulting regression model, the best learning models or those often used by Lecturers at STKIP development are WhatsApp Group and Google Classroom. In addition to multiple linear regression analysis, other methods can also be used to model types of online learning media with the addition of media such as LMS Moodle, Edmodo and others.
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