Development of the Spiral Gradual Release of Responsibility (GRR) Learning Model to Enhance Transfer of Learning in Econometrics
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Abstract
In the contemporary data-driven economic society, econometrics plays a pivotal role in not only elucidating complex economic phenomena but also furnishing a robust scientific foundation for economic decision-making. Despite advancements in econometric pedagogy, the challenge of translating theoretical knowledge into practical problem-solving skills remains pronounced. This article aimed to (1) develop a learning model that integrates spiral theory, learning strategies, and the Gradual Release of Responsibility (GRR) model to enhance students' transfer of learning and (2) evaluate the effectiveness of the Spiral GRR Learning Model in improving students' transfer of learning in econometrics.
The study was conducted with third-year economics majors at Zhanjiang University of Science and Technology, Guangdong, China, involving two classes selected through cluster sampling. One class, comprising 44 students, was designated as the experimental group and exposed to the Spiral GRR learning model, while the other class of 45 students served as the control group, receiving traditional instruction. Implemented over the second semester of the 2023 academic year, this intervention utilized test papers and interviews to collect quantitative and qualitative data, which were subsequently analyzed using descriptive and inferential statistics, alongside content analysis.
The research findings indicate that the Spiral GRR model effectively fosters the transfer of learning in econometrics, enhancing students' ability to apply knowledge across different contexts. Moreover, the study uncovered significant relationships between deep understanding of material and effective transfer, along with demographic influences such as gender and regional background. The success of this model suggests potential applications for improving educational outcomes in various disciplines beyond econometrics.
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