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Updated: Sep 25, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
Relationships Between Basic Psychological Need Satisfaction, Regulations, and Behavioral Engagement in Mathematics
Anders Hofverberg1,2, Mikael Winberg1,2, Björn Palmberg1,3
1Department of Science and Mathematics Education, Umeå University, Umeå, Sweden.
Student engagement in learning is vital. This study found that feeling competent and connected significantly boosts engagement, while autonomy
Area of Science:
- Educational Psychology
- Learning Sciences
- Motivation Theory
Background:
- Student engagement is crucial for academic success.
- Self-determination theory (SDT) provides a framework for understanding motivation and engagement.
- Previous research often examines partial paths of SDT, with limited studies on the full model, especially in mathematics.
Purpose of the Study:
- To test the full structural equation model of SDT, examining paths from basic psychological need satisfaction to student engagement.
- To investigate the specific roles of need satisfaction (autonomy, competence, relatedness) and different types of regulation (intrinsic, identified, introjected, external) in predicting behavioral engagement.
- To address inconsistencies in prior research and provide a more nuanced understanding of SDT's application to student engagement in mathematics.
Main Methods:
- Structural equation modeling (SEM) was employed to analyze the hypothesized relationships.
- The study utilized individual variables to represent higher-order constructs of need satisfaction, regulations, and behavioral engagement, avoiding construct merging.
- Data was collected and analyzed to test direct and indirect effects within the SDT framework.
Main Results:
- Satisfaction of the need for competence strongly predicted engagement, both directly and through identified regulation.
- Relatedness satisfaction positively influenced identified regulation, which in turn enhanced engagement.
- Autonomy satisfaction unexpectedly correlated positively with controlled motivation (external and introjected regulation), and neither intrinsic nor controlled regulation predicted engagement.
Conclusions:
- The need for competence and relatedness satisfaction are key drivers of student engagement, particularly through identified regulation.
- The unexpected positive association between autonomy satisfaction and controlled motivation warrants further investigation.
- Findings suggest a need to refine SDT models and pedagogical strategies to better foster genuine student engagement in educational settings, especially in mathematics.
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