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Published on: September 27, 2020
A Conceptual Framework to Integrate Research Programs on Self-Regulation in Education
Franz Wortha1,2,3, Peter Gerjets2,3, Roger Azevedo4
1Department of Mathematics Education, Loughborough University, Loughborough, UK.
This study integrates four views of self-regulation (SR) in education: stable dispositions, limited resources, driving forces, and learning activities. It proposes a dynamic system model to understand individual differences and learning outcomes.
Area of Science:
- Educational Psychology
- Cognitive Science
Background:
- Self-regulation (SR) is crucial in education but lacks theoretical integration.
- Existing research focuses on distinct mechanisms: stable dispositions, limited resources, driving forces, and learning activities.
Purpose of the Study:
- To propose an integrative conceptual framework for self-regulation in educational settings.
- To synthesize diverse theoretical accounts of SR, emphasizing their interdependence.
Main Methods:
- Conceptual analysis and synthesis of four major SR research traditions.
- Proposal of an integrative framework highlighting dynamic interactions and compensatory mechanisms.
- Advocacy for advanced computational and machine learning methods for SR research.
Main Results:
- A novel framework viewing SR as a dynamic, interdependent system.
- Explanation of individual differences and learning outcomes through SR interactions.
- Identification of a need for integrative methodologies to capture SR's complexity.
Conclusions:
- An integrated understanding of SR is essential for educational research.
- Dynamic systems and advanced methodologies are key to ecologically valid SR research.
- This framework advances a holistic perspective on self-regulation in learning.
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