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The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems
Martine Baars1, Lisette Wijnia1,2, Fred Paas1,3
1Department of Psychology, Education and Child Studies, Erasmus University RotterdamRotterdam, Netherlands.
Negative affect, poor self-assessment, and high mental effort hinder problem-solving performance in self-regulated learning (SRL) environments. Understanding these factors is crucial for improving student learning outcomes in complex subjects like biology.
Area of Science:
- Educational Psychology
- Cognitive Science
- Online Learning
Background:
- Self-regulated learning (SRL) is crucial for academic success, especially in complex subjects like biology.
- Research has primarily focused on cognitive aspects of SRL, neglecting affective and motivational factors.
- Affective and motivational resources are under-researched in the context of self-regulated problem-solving.
Purpose of the Study:
- To investigate the relationship between affect, motivation, mental effort, SRL skills, and problem-solving performance.
- To examine these factors within a self-regulated online learning environment for biology.
- To identify key predictors of successful problem-solving in this context.
Main Methods:
- Secondary education students engaged in self-regulated online learning of biology hereditary problems.
- Learning involved studying video-modeling examples and solving problems of varying complexity.
- A posttest assessed problem-solving performance, self-assessment accuracy, and mental effort perception.
Main Results:
- Negative affect was negatively associated with problem-solving performance.
- Inaccurate self-assessments during the posttest correlated with lower performance.
- Higher perceived mental effort during the posttest also predicted poorer problem-solving outcomes.
Conclusions:
- Affective states and metacognitive accuracy significantly impact self-regulated problem-solving.
- Mental effort, while necessary, can be detrimental if perceived as excessively high.
- Interventions should address emotional regulation and accurate self-monitoring to enhance SRL in online biology learning.
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