Abstract:
Contribution: This article aims to explore learner variables that predict the effectiveness of university class using the Havruta method. Background: This article was con...Show MoreMetadata
Abstract:
Contribution: This article aims to explore learner variables that predict the effectiveness of university class using the Havruta method. Background: This article was conducted on 105 learners enrolled in the “General Physics and Experiments 2” class at K University in South Korea. Research Questions: Independent and dependent variables were selected from previous studies to predict the effectiveness of the Havruta method in a university class. Methodology: Descriptive statistics, such as frequency and averages, were used to analyze the general characteristics of the subjects, and Pearson's r was used to check for correlation among all variables. Variables that predicted learning satisfaction and flow were evaluated through the multiple regression analysis. Findings: The results indicate that the independent variable, “openness to learning opportunities” significantly explained learning satisfaction by 16.1%. Together with “initiative and independence in learning,” they were significant in explaining the learning flow by 32.2%. These findings have practical application in universities in integrating the Havruta method to their classes.
Published in: IEEE Transactions on Education ( Volume: 63, Issue: 4, November 2020)
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- IEEE Keywords
- Index Terms
- Diverse Learning ,
- Dependent Variable ,
- Multiple Regression Analysis ,
- Dependent And Independent Variables ,
- Class Effect ,
- Independent Learning ,
- Learning Initiatives ,
- Learning Satisfaction ,
- Creativity ,
- Group Discussions ,
- Experimental Treatments ,
- Learning Ability ,
- Educational Technology ,
- Problem-solving Skills ,
- Electronic Technology ,
- Learning Management System ,
- Peer Mentoring ,
- Future Orientation ,
- Descriptive Statistical Results ,
- Love Of Learning ,
- Learning Attitude ,
- Class Content ,
- Responsibility For Learning
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Diverse Learning ,
- Dependent Variable ,
- Multiple Regression Analysis ,
- Dependent And Independent Variables ,
- Class Effect ,
- Independent Learning ,
- Learning Initiatives ,
- Learning Satisfaction ,
- Creativity ,
- Group Discussions ,
- Experimental Treatments ,
- Learning Ability ,
- Educational Technology ,
- Problem-solving Skills ,
- Electronic Technology ,
- Learning Management System ,
- Peer Mentoring ,
- Future Orientation ,
- Descriptive Statistical Results ,
- Love Of Learning ,
- Learning Attitude ,
- Class Content ,
- Responsibility For Learning
- Author Keywords