Study on the Evaluation Method of Blended Learning Effect Based on Multiple Linear Regression Analysis

With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline i...

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Bibliographic Details
Published inInternational journal of web-based learning and teaching technologies Vol. 18; no. 1; pp. 1 - 15
Main Authors Chen, Peijiang, Yang, Xueyin
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 2023
Subjects
Classrooms
Correlation analysis
Information technology
Learning
Methods
Motor cars
Performance prediction
Prediction models
Regression analysis
Regression models
Students
China
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Summary:With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that affect learning effect are analyzed. By extracting data on the main learning behaviors of students during the learning process, correlation and linear regression methods are used to analyze the influencing factors of blended learning effect, and a linear regression prediction model is established. The results show that students' online testing, classroom performance, unit testing, feature assessment, and experimental performance are key indicators for predicting learning performance. According to the analysis of influencing factors of blended learning, the countermeasures and suggestions for improving the effect of blended learning are proposed.
ISSN:1548-1093
1548-1107
DOI:10.4018/IJWLTT.327453