ERIC Number: EJ1403878
Record Type: Journal
Publication Date: 2023
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1548-1093
EISSN: EISSN-1548-1107
Available Date: N/A
Study on the Evaluation Method of Blended Learning Effect Based on Multiple Linear Regression Analysis
Peijiang Chen; Xueyin Yang
International Journal of Web-Based Learning and Teaching Technologies, v18 n1 2023
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.
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes, Correlation, Outcomes of Education, Computer Assisted Testing, Academic Achievement, Performance, Majors (Students), Motor Vehicles, Online Courses
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
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Authoring Institution: N/A
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Author Affiliations: N/A