Self-Regulated Learning Theory
Hailee Day
Learning Objectives
By the end of this chapter, you will be able to:
- Label the three-phase model of Self-Regulated Learning (SRL).
- Identify the contributions of Bandura, Zimmerman, and Pintrich to the development of SRL.
- Describe applications of SRL in different learning contexts.
Introduction to the Learning Theory
Overview
Self-Regulated Learning (SRL) is all about learners taking charge of how they learn and that when they take this role, they will achieve greater success. The theory outlines the importance of setting goals, monitoring progress, and adjusting learning strategies to improve outcomes (Rowe & Rafferty, 2013). These skills are laid out in three main steps that are identified as forethought, performance, and self-reflection (Tinajero et al., 2024). It can be helpful to think of SRL like climbing a mountain.

This is a journey where learners progress through three phases. In the forethought phase, they stand at the base, setting goals and planning their path. During the performance phase, they navigate challenges, monitor progress, and adjust strategies. The self-reflection phase, leads learners to assess their journey, refine their approach, and prepare for future climbs.
Image Description: A stylized mountain range with peaks in white, blue, and red, under a dark gray sky with an orange-pink hue. Text at the bottom includes the three steps of SRL: forethought, performance, and reflection.
SRL theory comes from a bigger idea called the Social Cognitive Theory. Albert Bandura is known as the father of Social Cognitive Theory and his work laid the framework for SRL. The connection between theories lies in the interaction between personal cognition, behavior, and social context. Later on, Barry Zimmerman and Paul Pintrich took Bandura’s ideas and expanded them into what we now call Self-Regulated Learning Theory.
Importance
SRL is relevant in education and psychology because it helps paint the picture of how educators and designers can help students become more independent and motivated to learn on their own (Rowe & Rafferty, 2013). Studies have found that students with strong self-regulation skills are better at managing their time, tools, and learning habits. These skills lead to improved academic outcomes (de la Fuente et al., 2022). Since COVID, more students are learning online, which means they have to take more responsibility for their learning without as much help from teachers. That makes SRL skills even more important (Rowe & Rafferty, 2013).
Origins of the Learning Theory
Founders
The primary contributors of the theory are Albert Bandura, Barry Zimmerman, and Paul Pintrich. Albert Bandura’s research was instrumental to fields of education and psychology and his Social Cognitive Theory laid the groundwork for the development of the Self-Regulated Learning theory. Bandura’s foundation highlighted the impact of self-efficacy on the learning experience (de la Fuente et al., 2022).
Barry Zimmerman founded the SRL theory and introduced a three part model that detailed how learners regulate their learning processes. Paul Pintrich expanded on Zimmerman’s approach by integrating motivational and affective components into SRL. His changes made the theory stronger and helped it cover more parts of how students learn and stay motivated (Tinajero et al., 2024).
Test your understanding of the founders of SRL with this matching game!
Historical Context
SRL has influenced modern educational practices in many ways. Over time, the pendulum has shifted towards student-centered learning. Research on SRL has helped teachers better understand what helps students succeed (Rowe & Rafferty, 2013) and has shown that self-regulated learning strategies greatly impact academic success (de la Fuente et al., 2022). As studies evolve into practice, the principles of the theory are now used in many places, like regular classrooms and online learning (Tinajero et al., 2024).
Comparison with Other Theories
To understand SRL better, it helps to compare it with other learning theories. One of the earliest behavioral models is operant conditioning which is the foundation of the behaviorism learning theory. While behaviorism primarily focuses on using rewards and punishments to change behavior, SRL focuses on internal motivation and metacognitive strategies for learning (de la Fuente et al., 2022). Where operant conditioning relies on external rewards and consequences, SRL helps students become more independent by teaching them to manage their own learning (Tinajero et al., 2024). With the help of AI, the table below outlines the comparisons between the two theories.
Aspect | Behaviorism | Self-Regulated Learning (SRL) |
View of Learning | Learning occurs through conditioning (reinforcement and punishment) | Learning is an active, self-directed process involving planning, monitoring, and evaluating one’s progress. |
Role of the Learner | Passive recipient knowledge, shaped by external rewards and punishments | Active agent who regulates their own learning through cognitive, metacognitive, and motivational strategies. |
Role of the Environment | The environment controls the behavior through stimuli and reinforcement. | The environment influences learning, but learners actively engage with it to shape their own understanding. |
Motivation | Extrinsically motivated (rewards, punishments). | Intrinsically and extrinsically motivated |
Cognitive Processes | De-emphasized, learning is based on observable behaviors. | Strong emphasis on cognitive and metacognitive processes. |
Application in Education | Used in rote memorization, drills, and behavior management strategies. | Encourages goal setting, self-monitoring, and reflection in learning. |
Fundamental Tenets of the Theory
Key Concepts
The main principles or tenets of the theory revolve around the 3 phase model laid out by Zimmerman. These three phases include forethought, performance, and reflection (Tinajero et al., 2024, p. 3). In the forethought phase, learners set goals and plan their approach. In the performance phase, students use their strategies and keep track of how they’re doing. In self-reflection, they assess outcomes, identify strengths and weaknesses, and adjust strategies as needed. These phases foster active engagement in learning by promoting goal-setting, self-monitoring, and reflection, ultimately improving academic success (de la Fuente et al., 2022).
Drag and drop each phase to its correct spot in the paragraph.
Case Study
Applying Self-Regulated Learning Theory to Backward Design in Medical Education
Dr. Davis is a faculty member at a medical school and is participating in a professional development session on backward design. The session is designed to help faculty create outcome-driven curricula by defining learning objectives first, determining assessments second, and planning instructional activities last. To enhance faculty engagement, the session incorporates Self-Regulated Learning (SRL) theory, guiding participants through the three phases of self-regulation: forethought, performance, and self-reflection.
Application of SRL Phases
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Forethought Phase:
Setting goals and finding motivation –
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Dr. Davis sets a clear goal to redesign a second-year pathology lecture using backward design principles.
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She recognizes the impact the planning process will have on students and uses that as her motivation to redesign the lecture.
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Performance Phase
Self-control and observation –
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She organizes her approach by breaking the redesign process into manageable steps, such as defining objectives for lecture before selecting assessments.
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During the session, Dr. Davis monitors her progress by comparing her work against the backward design framework, and adjusts her strategy as needed.
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Self-Reflection Phase
Self-judgement and self-assessment –
- After completing the redesign, Dr. Davis evaluates whether her assessments truly align with learning objectives.
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She recognizes areas for improvement and plans to seek feedback from colleagues to refine her course further.
Supporting Mechanisms
The specific processes that support the principles of SRL are processes that involve cognitive, metacognitive, and motivational strategies. Cognitive strategies involve organizing and processing information effectively, such as breaking down complex topics into manageable sections. Metacognitive strategies enable students to regulate their thinking processes and evaluate their understanding. Motivational strategies, like self-efficacy and goal-setting, push learners to persist and achieve success (Rowe & Rafferty, 2013).
This process is demonstrated by a medical student who enrolls in a complex Anatomy course. Knowing that the course will be difficult, she breaks the material into smaller sections, creates flashcards for key terms, and assesses her understanding using self-testing. To stay motivated, she sets achievable goals, boosts self-efficacy, and reminds herself of the importance of mastering the content for future clinical practice, which helps her to stay focused and persistent.
Strengths and Limitations of the Theory
Strengths
SRL provides a richer perspective on learning and development because it lets students take control of their learning and builds their motivation from the inside out. The main strengths of the theory are that it provides a structured framework for self directed learning. This framework sets students up to develop autonomy, resilience, and lifelong learning habits. These ideas work well in both school and work settings (de la Fuente et al., 2022).
Limitations
Although there are several advantages to this model of learning, this framework may not work for all learners. SRL can be harder for students who aren’t naturally motivated or don’t know how to check their own understanding. It could also be more challenging for learners that do not have a level of cultural or contextual understanding of the content which means it might not work as well unless teachers give extra help and support. Some students might already be good at self-regulation just because of their personality, which the model doesn’t fully explain. (de la Fuente et al., 2022). Students with learning disabilities may also struggle within the context of this model (de la Fuente et al., 2022).
Instructional Design Implications
Practical Applications and Strategies
Understanding the strengths and limitations of the theory can help instructional designers be intentional in their processes. Designing curriculum from this lens means that content creators design instruction that encourage students to take charge of their learning. Some ways that the SRL model can inform instruction include:
Goal-Setting: Create opportunities for learners to set clear goals, track their progress, and reflect on their achievements as a way to stay motivated.
Self-Assessment: Use tools like quizzes, reflection journals, and progress tracking to help students monitor their understanding and make adjustments as needed.
Personalized Learning: Build in flexible learning options to help meet individual student needs and increase autonomy.
Different Learning Environments: In classrooms, SRL can be supported through group discussions, case studies, and peer teaching. In online learning, tools like interactive modules and discussion boards help students stay engaged and self-directed.
By using SRL strategies in lessons, activities, and assessments, instructors help students become more independent, motivated, and effective learners (Rowe & Rafferty, 2013; de la Fuente et al., 2022).
Contexts
SRL can be used to design effective learning experiences in various educational and professional contexts. These contexts cover a variety of disciplines that can include traditional classrooms, online learning platforms, and workforce learning and development programs (de la Fuente et al., 2022). SRL encourages goal-setting, self-assessment, and reflective exercises to help students develop personalized learning strategies and time management skills. By integrating SRL principles, learners are empowered to take control of their education which leads to greater success (Rowe & Rafferty, 2013).
Conclusion
Image Description: A stylized mountain range with peaks in white, blue, and red, under a dark gray sky with an orange-pink hue. Text at the bottom includes the three steps of SRL: forethought, performance, and reflection.

Like a climber who packs the right gear and plans the best path, learners who take charge of their learning are more likely to reach their goals and understand new ideas. (Rowe & Rafferty, 2013). This helps teachers and designers think about how to build learning experiences that support students step by step. Content creators designing from this lens emphasize metacognition and develop instruction that feeds on internal motivation (Rowe & Rafferty, 2013). As educational landscapes continue to evolve, future research could explore how emerging technologies, such as AI, can serve as tools to further enhance SRL practices and support learners on their ascent toward mastery.
References
de la Fuente, J., Martínez-Vicente, J. M., Santos, F. H., Sander, P., Fadda, S., Karagiannopoulou, E., Boruchovitch, E., & Kauffman, D. F. (2022). Advances on self-regulation models: A new research agenda through the SR vs ER behavior theory in different psychology contexts. Frontiers in Psychology, 13, 861493. https://doi.org/10.3389/fpsyg.2022.861493
Tinajero, C., Mayo, E., Villar, E., & Martinez-Lopez, Z. (2024). Classic and modern models of self-regulated learning: Integrative and componential analysis. Frontiers in Psychology, 15, 1307574. https://doi.org/10.3389/fpsyg.2024.1307574
Rowe, F. A., & Rafferty, J. A. (2013). Instructional design interventions for supporting self-regulated learning: Enhancing academic outcomes in postsecondary e-learning environments. MERLOT Journal of Online Learning and Teaching, 9(4), 590–601.
Licenses and Attribution
“Self-Regulated Learning” by Hailee Day is adapted from “Advances on self-regulation models: A new research agenda through the SR vs ER behavior theory in different psychology contexts” by Jesus de la Fuente, Jose Manuel Martinez-Vicente, Flavia H. Santos, Paul Sander, Salvatore Fadda, Evangelia Karagiannopoulou, Evely Boruchovitch, and Douglas F. Kauffman for Frontiers, used under a Creative Commons Attribution License (CC BY), “Classic and modern models of self-regulated learning: Integrative and componential analysis” by Carolina Tinajero, Emma Mayo, Eva Villar, and Zeltia Martinzez-Lopez for Frontiers, used under a Creative Commons Attribution License (CC BY), and “Instructional design interventions for supporting self-regulated learning: Enhancing academic outcomes in postsecondary e-learning environments” by Frances A. Lowe and Jennifer A. Rafferty for Merlot, under a Creative Commons Attribution-Non-Commercial-Share-Alike (CC BY-NC-SA)
AI Attribution: This work was primarily human-created. AI was used to make stylistic edits, such as changes to structure, wording and clarity. AI was prompted for its contributions, or AI assistance was enabled. AI-generated content was reviewed and approved. The following model(s) or application(s) were used: ChatGPT.