Self-regulated learning
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Self-Regulated Learning: Insights from Recent Research
Introduction to Self-Regulated Learning (SRL)
Self-regulated learning (SRL) is a critical educational construct that involves learners actively managing their own learning processes through goal setting, self-monitoring, and self-evaluation. This concept has been extensively studied across various educational contexts, including traditional classrooms, online learning environments, and workplace training programs2 3 8.
SRL in Massive Open Online Courses (MOOCs)
Importance and Strategies
Research indicates that SRL is particularly important in MOOCs due to the high level of learner autonomy required. Key SRL strategies identified in MOOCs include motivational regulation (self-efficacy, task value, goal setting), behavioral regulation (help seeking, time management, effort regulation), and metacognitive regulation (goal setting)1 5. These strategies have been shown to positively influence learning outcomes in MOOCs1 5.
Tools and Interventions
Several tools and interventions have been developed to support SRL in MOOCs. These include features for goal setting, monitoring, self-evaluation, and strategic planning. Platforms like Coursera, Edx, and Moodle have integrated these tools to help learners manage their learning processes more effectively5 9.
SRL in Smart Learning Environments
Components and Strategies
In smart learning environments, SRL is influenced by various components such as motivation, cognitive and metacognitive strategies, and self-efficacy. Common SRL strategies in these environments include goal setting, help seeking, time management, and self-evaluation4. These strategies are supported by design tools like visualization, learning agents, social comparison, and recommendations to enhance student engagement and performance4.
Empirical Evidence
Empirical studies have shown that SRL significantly impacts the learning process in smart learning environments. However, there is a need for more theoretical models and mixed-method evaluations to better understand and support SRL in these contexts4.
SRL in Higher Education and Distance Learning
Training Programs and Academic Performance
Meta-analyses have demonstrated that SRL training programs can enhance academic performance, SRL strategies, and motivation among university students. The most effective strategies include metacognitive and resource management strategies, with feedback and cooperative learning arrangements further enhancing these effects6 7.
Distance Learning Contexts
In distance learning, SRL is crucial for academic success due to the increased need for learner autonomy. Interventions supporting metacognitive, cognitive, motivational, and emotional aspects of SRL have been found to be effective. However, there is a need for more research on emotion regulation and the preparatory and appraisal phases of SRL10.
Classroom Applications of SRL
Strategies and Pedagogical Principles
SRL has been successfully integrated into classroom practices, focusing on cognitive strategies, metacognition, motivation, task engagement, and social supports. Effective classroom applications include strategies for reading and writing, cognitive engagement in tasks, and self-assessment8. These practices help students become strategic, motivated, and independent learners8.
Conclusion
Self-regulated learning is a multifaceted construct that plays a vital role in various educational settings. From MOOCs to smart learning environments and traditional classrooms, SRL strategies such as goal setting, time management, and self-evaluation are essential for enhancing learning outcomes. Continued research and development of tools and interventions will further support learners in becoming more effective self-regulators.
Sources and full results
Most relevant research papers on this topic
Systematic literature review on self-regulated learning in massive open online courses
Self-regulated learning positively influences learning in MOOCs through motivational strategies like self-efficacy, task value, and goal setting.
Systematic Review
Highly CitedSelf-Regulated Learning.
Self-regulated learning involves three layers: processing mode regulation, learning process regulation, and self-regulation.
Highly CitedA meta-analysis of self-regulated learning in work-related training and educational attainment: what we know and where we need to go.
Goal level, persistence, effort, and self-efficacy are the key self-regulation constructs that influence work-related learning, accounting for 17% of the variance in learning.
Meta-AnalysisHighly CitedReview on self-regulated learning in smart learning environment
Self-regulated learning is a critical factor in smart learning environments, with components like motivation, cognitive, metacognitive, and self-efficiency playing key roles.
Systematic ReviewSelf-Regulated Learning in Massive Online Open Courses: A State-of-the-Art Review
Self-regulated learning in MOOCs is an emerging study area, with goal setting, help seeking, time management, self-evaluation, and strategic planning being key strategies.
Systematic ReviewSelf-Regulated Learning Training Programs Enhance University Students’ Academic Performance, Self-Regulated Learning Strategies, and Motivation: A Meta-Analysis
Self-regulated learning training programs enhance university students' academic performance, self-regulated learning strategies, and motivation.
Meta-AnalysisHighly CitedHow can primary school students learn self-regulated learning strategies most effectively? A meta-analysis on self-regulation training programmes
Self-regulated learning training programs effectively enhance academic achievement, cognitive and metacognitive strategy application, and motivation among primary school students, with the most effective characteristics based on grade level, training duration, and subject context.
Meta-AnalysisHighly CitedClassroom Applications of Research on Self-Regulated Learning
Self-regulated learning (SRL) in classrooms can help students develop strategic, motivated, and independent learning strategies, benefiting both teachers and students.
Highly CitedTools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review
Online learning tools support self-regulated learning through goal setting, monitoring, and self-evaluation, but often lack explicit SRL theoretical models and rarely assess their impact on learning performance.
Systematic ReviewSupporting Self-Regulated Learning in Distance Learning Contexts at Higher Education Level: Systematic Literature Review
Supporting self-regulated learning in distance education environments is crucial for academic success, but the distribution of interventions is uneven and emotion regulation and preparatory and appraisal phases are underexplored.
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