Self-Regulation

Learner Variable · All learner variables
Evidence · 192 claims (132 show a difference, 35 mixed, 25 no difference) · 138 studies (37 causal, 37 associational, 32 review, 13 quant-synthesis, 10 theoretical, 6 qualitative, 3 design), q1–q4 · 26 of 138 report an effect size · 183 claims rest on one study

Description

Whether a learner can plan, monitor and adjust without the structure being supplied for them. It decides whether a multi-week deliverable survives without scaffolding and pacing support. The finding that matters most for design is that self-monitoring is unreliable by default: learners judge fluency rather than learning, and confident misjudgement is the normal case rather than the exception [-M]. So the design job is supplying the external signal, not exhorting reflection.

How strongly it relates to achievement

Mathematics. These are correlations across meta-analyses (Breit et al. 2025, a systematic review of 30 meta-analyses; overview [+W]): how strongly learners who differ on this characteristic differ in mathematics achievement, not how much changing it would change achievement. Many of these characteristics are correlated with one another, and the review is about mathematics only.

• Self-regulation r = .42 (children, stronger in younger samples) and metacognition .37 (adolescents). Claim [+W]

Implications

Context

• Decides whether an extended deliverable needs imposed checkpoints or can be learner-paced.
• Self-assessment is inaccurate without training and without criteria — asking a learner how they are doing is not a measurement [-M].
• The strategies are teachable, which is what separates this from a fixed trait.

Target Learners

• Learners new to a domain, whose monitoring has no accurate standard to compare against.
• Learners meeting an unfamiliar task genre — a first literature review, a first long project.

Target Learning Objectives

• Predicts achievement across domains, and predicts completion of extended work far more strongly.
• Is itself a legitimate learning objective, not only a moderator.

Claims

• Self-regulated learning improves achievement [+M] — the headline association
• Self-monitoring improves self-regulation and supports better learning decisions [+M] — the mechanism the strategies target
• Metacognitive prompts improve learning [+M] — prompting beats expecting — the structure has to come from somewhere
• Goal setting improves performance [+M] — specific and proximal goals rather than exhortation
• Fluency judgments mislead learners [-M] — why unaided self-assessment is not a signal to design around
• Self assessment accuracy is low without training [-M] — the same finding stated as a design constraint
• Adolescents who use more language learning strategies are the more proficient ones, and strategy adoption varies with cultural background [~M] — correlational, and a caution: the learners using fewest strategies are least likely to seek help placed behind an optional control
• Adult learners generally find pronunciation more difficult than children and are unlikely to achieve native-like pronunciation, though experience and self-monitoring offset this somewhat [~M] — learners who differ on it differ in outcomes
• Argumentation quality is associated with denser co-occurrence of scientific reasoning and self-regulation processes [+M] — learners who differ on it differ in outcomes
• Children's executive function at the beginning of pre-kindergarten predicts growth in mathematics achievement across the pre-kindergarten year [+W] — learners who differ on it differ in outcomes
• Co-regulation shows stronger relationships with the three CoI presences than self-regulation in an online case-based course [+M] — learners who differ on it differ in outcomes
• Emotion regulation is concurrently associated with executive performance in the reverse direction, with habitual suppression linked to diminished EF [+W] — learners who differ on it differ in outcomes
• Executive function performance significantly predicts semantic fluency in preschool children [+W] — learners who differ on it differ in outcomes
• For facilitation of memorization, strategy variety was highest in the peer tutoring group while frequency was highest in the explicit instruction group [~M] — instruction changes it
• Growth in task orientation partially mediates the association between executive function and mathematics achievement in preschoolers [+W] — learners who differ on it differ in outcomes
• In a game-based problem-solving study, trait self-regulation scores related significantly only to knowledge map scores, with higher planning, self-monitoring, effort and self-efficacy going with better knowledge map performance [~M] — learners who differ on it differ in outcomes
• Inhibitory control is the strongest concurrent correlate of cognitive reappraisal among EF components [+M] — learners who differ on it differ in outcomes
• KIPP Pre-K combined with KIPP early elementary school may also have a positive impact on students' executive function [+W] — instruction changes it
• Metacognitive activity alone does not equate to effective regulation; unaccompanied metacognitive processes may be counterproductive [~M] — learners who differ on it differ in outcomes
• Metacognitive strategies and prior coding experience significantly predict CT profile membership, with metacognition contributing more strongly [+M] — learners who differ on it differ in outcomes
• Metacognitive strategies and products of metacognitive processes were more diverse and frequent in reading strategy instruction groups than in the no-instruction group [+W] — instruction changes it
• Metacognitive strategy use correlates positively with EFL reading comprehension achievement (r = .54) [+M] — learners who differ on it differ in outcomes
• Monitoring ideas was the metacognitive process with the greatest strategy variety, and its use was highest in the peer tutoring instruction group [+M] — instruction changes it
• No interaction effect of executive functions and theory of mind on semantic fluency in preschool children [-W] — an instructional effect differs with it
• No statistically significant sex differences in the direct associations among EF, task orientation, and mathematics or in the mediating effect of task orientation [-W] — learners who differ on it differ in outcomes
• Perceived AIGC affordance enhances AIGC self-efficacy and directly predicts self-regulated learning in IEI undergraduates [+M] — instruction changes it
• Pre-K graduates outperform nonattending peers in achievement and executive functioning at the end of kindergarten [+W] — instruction changes it
• Pre-K Mathematics shows uncertain effects on preschool self-regulation skills [~W] — instruction changes it
• Pre-kindergarten attendance yields small positive impacts on social-emotional development, executive functioning, and emotion recognition [+M] — instruction changes it
• Preschool children who pass both EF and TOM tests score significantly higher on semantic fluency than children who fail both [+W] — learners who differ on it differ in outcomes
• Preservice science teachers exposed to explicit reading strategy instruction showed the highest diversity and frequency of cognitive strategy use while reading a science text [+M] — instruction changes it
• Purpose in learning increases engagement, self-regulation, and academic performance [+W] — instruction changes it
• Red Light, Purple Light has potentially positive effects on preschool children's self-regulation, with moderate evidence [~M] — instruction changes it
• Self Assessment Improves Self Regulated Learning [+W] — instruction changes it
• Self Regulated Learning Predicts Achievement [+S] — learners who differ on it differ in outcomes
• Self-efficacy and learning motivation serially mediate the link from AIGC affordance to self-regulated learning [+W] — instruction changes it
• Self-regulated learning strategies account for up to 51% of the variance in academic performance, with metacognitive regulation strategies the strongest predictors [+M] — learners who differ on it differ in outcomes
• Some GenAI tools can inhibit productive struggle by reducing cognitive effort (metacognitive laziness) [-W] — instruction changes it
• Strategy variety for drawing attention was higher in the no-instruction and peer tutoring groups, while frequency was higher in the instruction groups [~M] — instruction changes it
• Stronger executive function is concurrently associated with greater cognitive reappraisal and less expressive suppression in adolescents [+W] — learners who differ on it differ in outcomes
• Students in grades 2-12 whose teachers received STRP training used 19 of 35 framework metacognitive behaviors in reading [+M] — instruction changes it
• Students with belonging, purpose, collaboration, goal-setting, and perseverance skills alongside academic knowledge are more likely to reach their full potential [+W] — learners who differ on it differ in outcomes
• Successful readers out-use less successful readers on global and support strategies but not problem-solving strategies [+M] — learners who differ on it differ in outcomes
• Teacher modeling with worked examples helped EFL students internalize reading comprehension strategies [+W] — instruction changes it
• The authors conclude that bilingual students can benefit from instruction in metacognitive strategy use [+W] — instruction changes it
• The TEFA-T model significantly improves students' metacognitive skills compared with conventional instruction [+M] — instruction changes it
• Web-based SRL training interventions produced statistically significant group by time interactions on the SRL subscales planning, self-motivation, volition, elaboration and metacognition, but not on goal-setting or reflection [~M] — instruction changes it
• With peer feedback groups added to web-based SRL training (Group TDP), students showed statistically significant gains in self-motivation, volition and reflection, beyond the planning and metacognition gains also seen in Group TD; goal-setting and elaboration gains stayed non-significant [~W] — instruction changes it
• Mindfulness and stress management skills may produce positive effects on educator sleep, self-regulation, self-compassion, and job satisfaction [+M] — instruction changes it
• Mindfulness practices are linked to positive school climate outcomes including compassion, well-being, and self-regulation [+W] — instruction changes it
• The paper reports that metacognition—students thinking about how they understand their own learning—supports more efficient and effective learning and improved outcomes [+M] — learners who differ on it differ in outcomes
• Youth most positively reported Project With's impact on goal setting, with 81 percent saying it made them more likely to make plans to reach their goals [+M] — instruction changes it
• Youth reported positive perceived impacts on healthy relationships (77 percent) and on self-regulation and decision-making (62–66 percent) [+M] — instruction changes it
• Over-reliance on AI scaffolding risks learned helplessness, so focus should shift to fostering self-regulated AI interaction [+W] — instruction changes it
• As cited second-hand in an AI-literacy framework paper: ChatGPT use improved short-term essay scores but triggered metacognitive laziness with no significant knowledge-transfer gains [~M] — instruction changes it
• AI feedback supports or undermines self-regulated practice depending on whether it supports or substitutes for internal monitoring [~W] — instruction changes it
• GenAI use collapses SRL cycle transitions, with metacognitive activity restructuring around the tool [+M] — instruction changes it
• genAI-supported work can improve while the constructive processing underlying durable expertise erodes (the performance–metacognition dilemma) [~W] — instruction changes it
• Self-regulated learning moderates the cognitive load–critical thinking relationship, buffering the negative effect of load [+M] — an instructional effect differs with it
• Self-regulated learning moderates the indirect effect of AI use on critical thinking through cognitive load [+M] — an instructional effect differs with it
• AI's direct impact on SRL concentrates on metacognitive and cognitive aspects while motivation remains underexplored [+M] — instruction changes it
• Students report heightened autonomy in English learning through self-directed regulation, personalized feedback, and active evaluation of ChatGPT suggestions [+M] — instruction changes it
• Both performance-oriented goals and effort minimization motivate offloading, and effort's effect disappears when performance monitoring is considered simultaneously [~M] — learners who differ on it differ in outcomes
• Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts [+M] — instruction changes it
• GenAI and metacognitive self-reports did not robustly predict behavioral regulation or final task performance [-M] — learners who differ on it differ in outcomes
• Metacognitive evaluations of effort and performance, rather than objective performance, drive spontaneous offloading [+M] — learners who differ on it differ in outcomes
• Students' SRL profile under automated scoring was uneven, and only Execution-and-Monitoring was significantly associated with score gains [~M] — learners who differ on it differ in outcomes
• Teaching a ChatGPT agent improves students' self-regulated learning, specifically self-efficacy and use of cognitive strategies [+M] — instruction changes it
• Cognitive offloading tendency is negatively associated with critical thinking, technical problem-solving, and metacognitive self-regulation [+M] — instruction changes it
• Metacognitive self-regulation mediates the relationships between all three AI interaction mechanisms and both higher-order outcomes [+M] — learners who differ on it differ in outcomes
• Perceived GenAI role is systematically associated with metacognitive dimensions activated: replacement-tool users show no evaluation or elaboration, collaborator users show predominantly higher-order activity [+M] — instruction changes it
• In association-rule mining of survey data from 530 college students in online courses, goal setting, environment structuring and time management were the strategies most often associated with lower digital distraction [+M] — learners who differ on it differ in outcomes
• The structural model explains about half the variance in critical thinking and technical problem-solving and about a third in metacognitive self-regulation [+M] — instruction changes it
• Grade-9 students' LLM-supported mathematical interactions are strongly request-dominated, with little explicit planning, monitoring, or evaluation [+W] — instruction changes it
• Novice programmers' GenAI use produces a widening gap in outcomes by metacognitive skill (attributed to Prather et al.) [+W] — an instructional effect differs with it
• Within a single LLM session, students' help-seeking shifts toward answer- and verification-seeking while explicit self-regulation modestly increases [~W] — instruction changes it
• Challenge emotions mediate the association between GenAI literacy and GenAI-assisted self-regulated learning behaviors, with a relatively small indirect effect [~M] — instruction changes it
• Frequent generative AI use for essay writing can foster metacognitive laziness, reducing intrinsic motivation and learning autonomy [+M] — instruction changes it
• GenAI literacy is positively associated with GenAI-assisted self-regulated learning behaviors among special education undergraduates [+M] — instruction changes it
• Learning agency mediates the association between GenAI literacy and GenAI-assisted self-regulated learning behaviors [+M] — instruction changes it
• Self-regulated learning and critical AI evaluation promote effective AI use [+M] — learners who differ on it differ in outcomes
• The Concerted Interpretation group reported significantly higher self-regulation than Delegated Reasoning, with no profile differences in co-regulation or socially-shared regulation [+M] — instruction changes it
• The direct association between GenAI literacy and GenAI-assisted self-regulated learning behaviors remains significant after accounting for the mediators, indicating partial mediation [+M] — instruction changes it
• HelpCoach did not significantly outperform Baseline in improving or retaining self-reported self-regulation [-M] — instruction changes it
• Learners perceive AI applications as useful for regulating their learning but not for regulating motivation [+M] — instruction changes it
• AI-assisted practice applications improved music students' performance outcomes, self-efficacy, and self-regulated learning [+M] — instruction changes it
• In Experiment 1, a five-trial metacognitive prediction-plus-feedback intervention significantly reduced reminder bias, producing more optimal reminder-setting behaviour [+M] — instruction changes it
• In Experiment 1, the feedback group showed significantly lower absolute (unsigned) metacognitive bias than the no-feedback group at both pre-task and post-task [+M] — instruction changes it
• In Experiment 1, the feedback intervention reduced pre-task signed metacognitive bias (underconfidence) but the group difference did not persist at post-task [~M] — instruction changes it
• In Experiment 2, absolute metacognitive bias decreased linearly across the four additive intervention groups, and the full intervention group was significantly less biased than control [+M] — instruction changes it
• In Experiment 2, making metacognitive predictions alone did not improve calibration, performance feedback was sufficient, and explicit metacognitive feedback added no significant benefit [~M] — instruction changes it
• In Experiment 2, signed metacognitive bias scores showed no significant group effect or linear trend, failing to replicate the Experiment 1 signed-bias finding [-M] — instruction changes it
• Metacognitive feedback disrupted the tendency to repeat answer offloading across consecutive items without changing whether participants engaged with the assistant [+M] — instruction changes it
• In one preregistered experiment, metacognitive feedback on learners' own LLM use lowered the odds of answer offloading and raised the odds of a correct unaided answer on one-sided tests, with 95% intervals reaching no effect [+M] — instruction changes it
• During AI-tutor interactions, students' turns were dominated by help requests with near-absent monitoring and evaluation [+M] — instruction changes it
• GenAI functions as productive self-scaffolding when students retain executive control, and becomes unproductive when reasoning is outsourced [~M] — an instructional effect differs with it
• The general-AI group most often dictated ChatGPT to directly generate solutions while the regulated-AI group more frequently collaborated to improve self-generated ideas [+M] — instruction changes it
• Time Management showed a marginally significant post-intervention difference favouring GenAI feedback, while Goal Setting, Help Seeking and Self-Evaluation showed no significant differences [~M] — instruction changes it
• AI chatbots in VET show promising effects on self-regulation and task performance [+M] — instruction changes it
• AI self-efficacy and self-regulated learning mediate the support–competence associations in opposite patterns for the two supports [~M] — learners who differ on it differ in outcomes
• GenAI can support learner agency through self-regulated learning, self-efficacy, and feedback literacy under appropriate conditions [~M] — learners who differ on it differ in outcomes
• Metacognitive awareness shapes whether learners use ChatGPT reflectively or copy shallowly, and metacognitive support sustains self-regulated learning [+M] — instruction changes it
• Qualitatively, Socratic prompts supported reflective monitoring while directive feedback was associated with overload and resistance [~M] — instruction changes it
• Socratic feedback is associated with higher task orientation and comprehension monitoring than directive feedback; on feedback regulation it has no main effect, but its effect depends on agent type [~M] — instruction changes it
• Metacognitive planning measured by the Cognitive Assessment System correlates with standardized achievement at values ranging from .12 to .50 across ages 5 to 17 [+W] — learners who differ on it differ in outcomes
• Metacognitive strategic planning measured by think-aloud protocol showed a .94 correlation with science program placement in one study of 34 eleventh-graders [+W] — learners who differ on it differ in outcomes
• Metacognitive strategy correlations with achievement vary widely across studies, from negative values near -.28 to values such as .66 and .94 [~W] — learners who differ on it differ in outcomes
• Some strategy-achievement correlations are near zero or negative even within the same instrument family, including 3rd-graders' strategy use (-.05) and elaboration (.00) [-W] — learners who differ on it differ in outcomes
• Higher levels of student involvement in self-monitoring lead to stronger intervention effects (preliminary evidence) [+M] — an instructional effect differs with it
• Human–GenAI collaborative interactions show promise for supporting metacognition and sociometacognition, based on an exploratory expert case study [+W] — instruction changes it
• Keeping a structured learning diary without further intervention did not improve university students' self-regulation [-M] — instruction changes it
• Self-regulated learning abilities improved significantly in the GPT-feedback VR group, supporting self-reflection, goal setting, and strategy adjustment [+M] — instruction changes it
• Self-regulated learning is associated with increased academic achievement and improved learning outcomes for students [+W] — learners who differ on it differ in outcomes
• Strategy prompts strongly increase learners' use of the prompted strategies, and the effect on comprehension is mediated by strategy use [+M] — instruction changes it
• Students can only improve if they develop the capacity to monitor the quality of their own work during actual production [+W] — instruction changes it
• Without instructional support, learners show low cognitive strategy use and almost absent metacognitive strategies in journal writing, and realized strategy use correlates with learning outcomes [+M] — learners who differ on it differ in outcomes
• Young children ages 5-6 can set learning goals and use the Self-Determined Learning Model of Instruction to achieve them [+M] — instruction changes it
• Among kindergartners with low number sense, attention problems and executive functioning each uniquely predict first-grade mathematics outcomes [+M] — learners who differ on it differ in outcomes
• Both the quantity and the quality of metacognitive skills in math increase between the second and third year of secondary education (ages 13–15) [+M] — instruction changes it
• Creativity, crystallized intelligence, fluid intelligence and executive functions are all correlated in children aged 8 to 13 [+M] — learners who differ on it differ in outcomes
• Executive functions and intelligence play an important role in creative thinking, but the relationship in children had been under-studied [+W] — learners who differ on it differ in outcomes
• Executive functions do not directly predict syntactic complexity or story content once transcription and language skills are controlled [-M] — learners who differ on it differ in outcomes
• Executive functions substantially account for the latent intelligence–creativity correlation, leaving a reduced but still positive residual of r = .34. [+M] — learners who differ on it differ in outcomes
• Fall self-regulation (HTKS) scores predict spring literacy gains in first grade [+M] — learners who differ on it differ in outcomes
• For first graders with weak initial self-regulation, ISI is associated with greater self-regulation gains, increasing with teachers' A2i use [+W] — an instructional effect differs with it
• Mathematical metacognition statistically mediates the association between mathematics anxiety and children's word problem solving after controlling for IQ [+M] — learners who differ on it differ in outcomes
• Metacognitive awareness of VSTM performance becomes less accurate with age but remains well above chance across the adult life span [~M] — instruction changes it
• Metacognitive components differ in developmental trajectory: planning and evaluation grow in quantity and quality, orientation quantity decreases, and elaboration grows in frequency but not quality [~M] — instruction changes it
• Metacognitive skillfulness develops alongside, but not fully dependent on, intellectual ability, in line with the monotonic development hypothesis [+M] — instruction changes it
• Modeling mathematics anxiety as the mediator of metacognition's effect on word problem solving yields no mediating effect [-M] — learners who differ on it differ in outcomes
• In one 12-week trial, balance and relaxation training did not detectably differ in their effects on cardiorespiratory fitness, Stroop interference, or psychopathological symptoms [-M] — instruction changes it
• The ISI intervention shows no main effect on first graders' self-regulation gains from fall to spring [-M] — instruction changes it
• The mediating effects of executive functioning and attention problems did not significantly differ from each other on any first-grade outcome [-M] — learners who differ on it differ in outcomes
• The mixed model holds for metacognitive quality in both age groups: metacognitive skillfulness contributes uniquely to math performance on top of intelligence [+M] — learners who differ on it differ in outcomes
• The roles of intelligence and metacognitive quality as predictors of math performance turn around between ages 13 and 15 [~M] — learners who differ on it differ in outcomes
• Children aged 8–11 with higher parent-rated self-regulation show more proactive response slowing on a stop-signal anticipation task [+W] — learners who differ on it differ in outcomes
• Children showing higher metacognition and self-regulation felt the task would be difficult but that they would be able to solve it [+W] — learners who differ on it differ in outcomes
• Children with the weakest executive functions benefit the most from EF interventions, so early training may reduce social disparities in EFs [+M] — an instructional effect differs with it
• Higher self-regulation in pre-adolescent children is associated with stronger right mid frontal cortex activation during proactive inhibition [+W] — learners who differ on it differ in outcomes
• Malleable trait beliefs may be especially beneficial for classroom behavioral self-regulation among mastery-oriented children (marginal interaction) [~M] — instruction changes it
• Self-regulation scores correlate with functional coupling between the right striatum and left motor cortex during reactive inhibition, but not frontostriatal coupling during proactive inhibition [+W] — learners who differ on it differ in outcomes
• Success in PBL requires students to set goals, monitor, reflect, and sustain motivation across the whole project, yet many students do not do these processes naturally [+W] — learners who differ on it differ in outcomes
• Learner-chosen adaptivity in a collaboration script was feasible as guidance design, but impacted regulatory actions only among students with more advanced self-regulation skills [~M] — an instructional effect differs with it
• Self-efficacy, but not self-reported strategy use, predicts subsequent exam grades in the university course [-W] — learners who differ on it differ in outcomes
• Short-term prompting in weekly learning journals increases university students' self-reported cognitive strategy use over time [+M] — instruction changes it
• Short-term prompting in weekly learning journals increases university students' self-reported metacognitive strategy use over time [+M] — instruction changes it
• Short-term prompting increases the quantity of cognitive strategy use in open-ended learning journals, but not the quantity of metacognitive strategy use [~M] — instruction changes it
• Explicitly taught students used the complex task-specific strategy types indirect subtraction and simplifying more than twice as often as implicitly taught students at post-test [+M] — instruction changes it
• Implicit and explicit learning environments do not differ in third graders' accurate use of strategies [-M] — instruction changes it
• Implicit and explicit learning environments do not differ in third graders' skills in adaptive use of strategies at post-test or at 3- and 8-month follow-ups [-M] — instruction changes it
• Implicitly taught students showed a more sustainable use of self-generated compensation strategies, which resisted the later introduction of standard algorithms [+M] — instruction changes it
• The strategy intervention improved third graders' adaptive use of strategies relative to untreated classmates [+M] — instruction changes it
• Facilitator techniques such as advocacy-inquiry, guided self-correction, and the plus-delta method function as metacognitive practices that shift focus from retrodiction to prediction [+M] — instruction changes it
• Target strategy use did not vary by instructional support condition for any of the three fraction comparison tasks [-M] — instruction changes it
• Video review scaffolds self-regulated learning, and hands-on activity groups show greater self-regulation than virtual simulation groups [+M] — instruction changes it
• Constantly high complexity lowers reported intrinsic cognitive load and metacognitive strategy use compared with gradually increasing complexity [+M] — instruction changes it
• All metacognitive strategy factors and critical thinking subfactors were significantly and positively correlated with each other and with academic writing [+M] — learners who differ on it differ in outcomes
• Better metacognitive monitoring and control at the start of the year are correlated with lower boredom and anxiety about English at year's end [+M] — learners who differ on it differ in outcomes
• In a self-regulated solving phase, S JOSs predicted solving success and AS and NS JOSs predicted effort regulation [+M] — learners who differ on it differ in outcomes
• Metacognition is significantly and positively associated with EFL students' critical thinking skills (Model 2) [+M] — learners who differ on it differ in outcomes
• Metacognition is significantly and positively related to EFL students' academic writing performance (Model 1) [+M] — learners who differ on it differ in outcomes
• Metacognitive judgement positively predicts perceived individual performance in CPS, which mediates perceived group performance [+M] — learners who differ on it differ in outcomes
• Pre-structured diagrams improved metacomprehension accuracy while self-assessment cues showed no differences [~M] — instruction changes it
• Time pressure weakens monitoring-based self-regulation of study time: gamma correlations between judgments of learning and study time are stronger in the untimed than the timed condition [~M] — learners who differ on it differ in outcomes
• Adding diagram self-assessment to diagram completion does not increase diagnostic cue utilization or metacomprehension accuracy beyond diagramming alone [-M] — instruction changes it
• Monitoring accuracy predicts comprehension-based regulation accuracy, and cue availability also has an indirect effect on regulation accuracy via monitoring accuracy [+M] — learners who differ on it differ in outcomes
• Self-reported metacognitive regulation of reading contributes to expository digital text comprehension in a home e-learning environment [+M] — learners who differ on it differ in outcomes
• Rubric use has a small, statistically non-significant pooled effect on self-regulated learning (g = 0.23) [-W] — instruction changes it
• Comprehension strategy use relates to sourcing in most reviewed studies, especially complex multiple-text strategies among university students [+W] — learners who differ on it differ in outcomes
• Higher teacher-student conflict is associated with lower levels of specific metacognitive skills, while closeness is positively associated with metacognition in upper elementary school [+M] — instruction changes it
• Comprehension strategy use distinguished better ML readers more accurately than English reading fluency did [+M] — learners who differ on it differ in outcomes
• Within-person reminders of implementation intentions improve students' short-term study behaviour [+M] — instruction changes it
• Specific training was associated with more advanced strategy use, but most teachers used strategies inconsistently and generically [+M] — instruction changes it
• Some SECs show no association with engagement dimensions in individual studies, including emotion regulation with behavioural engagement and intentional self-regulation compensation [-W] — learners who differ on it differ in outcomes
• High-performing readers use more monitoring strategies while under-performing readers rely more on cognitive strategies like memorization [+M] — learners who differ on it differ in outcomes
• Pedagogical interventions and scaffolds increase learners' use of self-regulated reading strategies [+M] — instruction changes it
• Self-regulated reading processes are positively associated with reading and learning outcomes [+M] — learners who differ on it differ in outcomes
• Generative AI support can foster self-regulated learning more effectively than traditional AI-based implementations [+M] — instruction changes it
• Informing learners about the to-be-monitored cue before the problem-solving phase improves self-assessment accuracy compared with informing them only afterwards [+W] — instruction changes it
• Executive functions, especially working memory, inhibition, and cognitive flexibility, are consistently associated with core SRL activities [+M] — learners who differ on it differ in outcomes
• Strategy efficacy beliefs shift toward the strategy a student chooses: choosers of blocked practice raised blocked beliefs and lowered interleaved beliefs, and vice versa [+M] — instruction changes it
• Effortful generative learning activities during problem-solving example study provide cues that improve students' item-level self-monitoring accuracy [+M] — instruction changes it
• Self-explaining does not improve retrospective monitoring accuracy, while problem complexity reduces it [~M] — instruction changes it
• Preschool executive functions robustly predict mathematical skills during preschool and later in development [+M] — learners who differ on it differ in outcomes
• For inference questions, lower reading skill, higher self-efficacy, and higher self-reported monitoring strategies were associated with stronger overestimation, with openness associated only for predictions [+M] — learners who differ on it differ in outcomes
• Monitoring tools show low effects on self-regulated learning (d = 0.19) [-W] — instruction changes it
• Regular and explicit teacher addressing of metacognitive strategies is linked to students applying more metacognitive strategies over time [+M] — instruction changes it
• The linear effect of task difficulty on cognitive strategy use is competitively mediated by learner resources: difficulty decreases resources, which lowers strategy use, while a positive direct effect remains [~M] — instruction changes it
• Technology-enhanced adaptive teaching shows no significant effects on monitoring accuracy, subject-specific interest, or self-efficacy [-W] — instruction changes it
• MAST shows no effect on self-regulation in four-to-five-year-old children [-M] — instruction changes it
• Metacognitive prompting did not significantly change the overall frequency of metacognitive SRL activities in main categories and subcategories [-M] — instruction changes it
• Metacognitive prompting increases domain-general metacognitive SRL activities (goal specification and strategic planning) in young learners in a CBLE [+M] — instruction changes it
• Model answers and self-assessment instructions do not improve monitoring accuracy after delayed diagramming [-M] — instruction changes it
• Model answers combined with self-assessment instructions interactively improve monitoring-based regulation accuracy, with two model answers most effective [+M] — instruction changes it
• Self-scoring improved regulation accuracy awareness only for students whose regulation judgment accuracy increased or stayed maximally accurate [~M] — instruction changes it
• Self-scoring improves primary school students' regulation judgment accuracy in mathematics [+M] — instruction changes it
• Children's executive functions at 54 months partly account for the association between mothers' early autonomy support and achievement in elementary and high school [+M] — learners who differ on it differ in outcomes
• Indirect effects via executive functions hold for CPT inhibition, sustained attention, and delay of gratification indicators but not the Day-Night Stroop [~M] — learners who differ on it differ in outcomes
• Mothers' early autonomy support uniquely predicts children's executive functions at 54 months over and above warmth, cognitive stimulation, and covariates [+M] — instruction changes it
• The mediating role of executive functions remains significant when children's temperament and vocabulary are modeled as alternative mediators [+M] — learners who differ on it differ in outcomes
• Deficits in executive function and letter recognition predict delayed cardinal principle knower status [+M] — learners who differ on it differ in outcomes

The evidence by question

• Does a learner's self-regulation predict achievement, and how strongly? Self Regulated Learning Predicts Achievement [+S]
• Does teaching and prompting self-regulation improve achievement over ordinary instruction? Self-regulated learning improves achievement [+S]
• Can learners' own monitoring be trusted, and can it be trained? Self assessment accuracy is low without training [-S]
• What happens to regulation when learners have a generative AI assistant, and what counteracts offloading? Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts [+M]

Related Learner Variables

• Motivation — starts the effort that self-regulation then has to sustain.
• Prior knowledge — accurate self-assessment needs a standard, which novices do not yet hold.
• Time and continuity — external pacing substitutes for regulation a learner cannot yet supply.

Examples

• Goal Setting — the element form of the most reliable lever
• Cognitive Strategies — the teachable repertoire rather than the disposition
• Goal Setting — specific, proximal goals in practice
• Metacognitive Reflection Prompts — supplies the monitoring question rather than assuming it
• Self-Regulated Learning — the pattern that sequences plan–monitor–adjust
• Metacognition — the underlying account
• Self-Regulated Learning — the cyclical model design draws on
• Teach less-proficient EFL learners metacognitive strategies, effort regulation, and help-seeking, supported by goal-setting training
• Design GenAI learning activities that position GenAI as a collaborator to support the full metacognitive chain

Key Sources

• The evidence is carried by the claim pages linked above, each holding its own ## Evidence entries with q/i codes and DOIs checked against Crossref. Citations are deliberately not duplicated here — a second copy is a second thing to keep correct.

Page metadata

Field	Value
type	learner-variable
id	self-regulation
title	Self-Regulation
description	Whether a learner can plan, monitor and adjust their own work without the structure being supplied.
status	review
canonical	True
generated	by claude/unspecified on 2026-09-02
trust	unverified — no one has confirmed this page's content

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