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)