Self-regulated learning improves achievement¶

Claim · All claims
Evidence · 3 studies · 2 quant-synthesis r?, 1 review r3 · q3–q4 · i1–i2
Currency · newest study 2019 · 1 of 3 entries checked against their sources (automated) · not reviewed by a person

Learners who plan, monitor, and evaluate their own learning — and who are explicitly taught to do so — achieve better outcomes than learners who study the same material without these self-regulatory processes.

Subclaims¶

q4 i2 Across 84 intervention studies in primary and secondary school, training students in self-regulated learning produced an average effect of 0.69 on academic performance, strategy use and motivation combined, with larger effects when researchers rather than regular teachers delivered the training and in mathematics than in reading/writing. → Dignath & Büttner 2008

q3 i1 In elementary and secondary students, measured self-regulated learning is only weakly correlated with academic achievement (metacognitive processes r = 0.20; cognitive strategies r = 0.11), and the correlation varies by process, subject, grade level and how SRL and achievement are measured. → Dent & Koenka 2016

q3 i? In online learning environments, a systematic review of 35 studies found that most supports for self-regulated learning (prompts, integrated support systems, prompts combined with feedback) improved learner performance, while the two studies of feedback alone did not, integrated systems helped only when learners actually used them, and no pooled effect was computed. → Wong et al. 2019

Evidence¶

Dignath & Büttner 2008¶

Dignath, C., & Büttner, G. (2008). Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231–264. doi:10.1007/s11409-008-9029-x

q4 · meta-analysis of intervention studies · i2 · medium-to-large effect, average ES = 0.69 · n=84 studies (357 effect sizes) · quant-synthesis · r?

Two separate meta-analyses pooled self-regulated learning training studies: 49 with primary school students and 35 with secondary school students, 357 effect sizes in all. Outcomes were academic performance, strategy use and motivation, and the 0.69 average covers all three together. The abstract does not give a separate figure for achievement. Meta-regression found larger effects when researchers, not regular teachers, delivered the training, and in mathematics compared with reading/writing or other subjects. The theory behind the programme and the type of strategy taught had different effects at the two school levels. Read as abstract only.

Dent & Koenka 2016¶

Dent, A. L., & Koenka, A. C. (2016). The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educational Psychology Review, 28(3), 425–474. doi:10.1007/s10648-015-9320-8

q3 · meta-analysis of correlational studies · i1 · small correlation, r = 0.20 (metacognitive processes), r = 0.11 (cognitive strategies) · n=? · quant-synthesis · r?

Two meta-analyses of elementary and secondary school students related achievement to (1) metacognitive processes of self-regulated learning and (2) use of cognitive strategies. Both overall correlations were small: r = 0.20 for metacognitive processes and r = 0.11 for cognitive strategies. The correlations differed significantly by the specific process or strategy, academic subject, grade level, type of SRL measure and type of achievement measure. This is the correlational arm of the claim. It supports a real but modest association, not a causal effect. The number of studies was not in the abstract. Read as abstract only.

Wong et al. 2019¶

Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G.-J., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. doi:10.1080/10447318.2018.1543084

q3 · systematic review, narrative synthesis, no pooled estimate · i? · no pooled effect size reported · n=35 studies · review · r3

A systematic review of 35 studies of approaches to support self-regulated learning in online learning environments, from seventh graders to working adults (23 at undergraduate level), grouped as prompts (14), integrated support systems (10), feedback (2), prompts with feedback (4) and other approaches (5). Most studies found positive effects on learner performance; neither feedback-only study found an effect on learning performance, and in one integrated-system study learners performed better only when they used the support provided. Few studies examined learner differences, and those that did suggest learners with lower prior knowledge, cognitive ability or metacognitive ability need additional or differentiated support. Very few experimental studies had been run in MOOCs themselves. Read in full (open access, Erasmus University repository).

"Most of the studies found positive effects on learner performance."

Studies bearing on this claim¶

Does teaching and prompting self-regulation improve achievement over ordinary instruction? This table gathers the studies behind this claim and the 26 narrower claims that bear on it: 26 distinct studies (10 quant-synthesis, 8 causal, 5 review, 1 theoretical, 1 qualitative, 1 design), q2–q4, 6 of 26 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Discussion¶

Self-regulated learning (SRL) is not a single technique but a cycle of forethought (goal setting, strategic planning), performance (self-monitoring, self-control), and self-reflection (self-evaluation, adaptive adjustment). The claim covers both (a) correlations between learners' existing self-regulatory skill and achievement, and (b) causal effects of explicitly training or scaffolding SRL strategies. These are distinct claims with distinct evidence bases: correlational studies cannot rule out that stronger students self-regulate more, while training studies vary widely in dosage, duration, and whether strategies are taught generically or embedded in a specific domain.

Key moderators to establish when evidence is added: the learner's age and prior achievement (younger and lower-achieving learners typically have the most room to gain from SRL instruction, because they default to passive rehearsal); whether support is a standalone curriculum or woven into subject-matter instruction (embedded support usually transfers better); and whether the strategies taught are actually appropriate to the task — teaching monitoring strategies without accompanying control strategies can leave learners aware of their confusion but unable to act on it. SRL also interacts with motivation: strategies are only deployed when learners value the goal and expect success, which links this claim to motivational mechanisms such as autonomy and competence support (see Self-Determination Theory and Autonomy supports intrinsic motivation).

Boundary conditions expected from the broader literature: benefits shrink for highly expert learners who already regulate effectively, and poorly designed strategy training (short, decontextualized, or focused on surface behaviors like highlighting) can produce no gain or even displace more effective study time. Measurement is a further open question — much of the literature relies on self-report questionnaires, which correlate only modestly with trace or online measures of actual regulatory behavior, so the correlational arm of this claim may look stronger or weaker depending on how SRL is operationalized. The theoretical framing lives in Self-Regulated Learning.

Evidence status. Three studies are recorded on this page: a meta-analysis of SRL training in primary and secondary school (Dignath & Büttner 2008), whose average of 0.69 combines performance, strategy use and motivation; a meta-analysis of the correlation between measured SRL and achievement (Dent & Koenka 2016, r = 0.11–0.20); and a systematic review of SRL supports in online learning with no pooled effect (Wong et al. 2019). Not yet recorded here: an effect of SRL training on achievement alone, and one that distinguishes embedded from standalone instruction.

Merged from “Self Regulated Learning Improves Academic Outcomes” (self-regulated-learning-improves-academic-outcomes): Self-regulated learning (SRL) is typically described as a cyclical process with three phases: forethought (goal setting, strategic planning), performance (self-monitoring, self-control of attention and effort), and self-reflection (self-evaluation, adaptive adjustment after feedback). Interventions operationalize these phases through goal setting, planning templates, self-questioning prompts, and structured reflection routines embedded in subject-matter instruction.

Important moderators shape when and how strongly SRL instruction pays off:

• Novice advantage. Novices often lack the domain knowledge to judge their own understanding accurately, so explicit strategy instruction and external scaffolds (prompts, planning templates, checklists) tend to matter most early in learning; as expertise develops, learners can internalize regulation and external supports may become redundant — a pattern consistent with the expertise reversal effect [~M].
• Support vs. autonomy. SRL thrives when learners have meaningful choices about goals, strategies, and pacing; environments that support autonomy foster the motivation that regulation requires, whereas purely compliance-driven settings can undermine it [~M].
• Accuracy of self-assessment. Regulation is only as good as the monitoring it rests on. Learners frequently misjudge their own comprehension, so interventions that pair self-monitoring with accurate external feedback — assessment for learning practices — are more effective than reflection prompts alone [~S].
• Domain specificity. Regulatory strategies transfer imperfectly across domains; embedding strategy instruction within authentic subject-matter tasks outperforms teaching generic "study skills" in isolation [~M].
• Cognitive cost of regulation. Self-monitoring and strategy switching consume working-memory resources; for novices already near cognitive load limits, heavy regulatory demands during practice can compete with learning the content itself [~M].

Constraints on the claim's scope: SRL instruction shows weak or null effects when delivered as decontextualized study-skills training [-W], when learners lack the motivation to apply strategies (regulation without intrinsic motivation tends to decay) [-M], and when self-report-based "regulation" reflects learners describing desirable behaviors rather than actually enacting them — a measurement problem that complicates much of the supporting literature [~W].

Open questions include how durable SRL gains are over time, how best to measure regulation (self-report questionnaires versus trace data from learning platforms), and how adaptive learning technologies should balance learner control against algorithmic scaffolding.

Merged from “Self-regulated learning improves outcomes” (self-regulated-learning-improves-outcomes): SRL is typically described as a cyclical process of forethought (goal setting, strategic planning), performance (self-monitoring, self-control), and self-reflection (self-evaluation, adaptive adjustment) — see Self-regulated learning. The claim that SRL training improves outcomes is broadly supported in the literature [+M] — meta-analyses of SRL interventions report positive effects on academic performance, with the largest gains when strategy instruction is embedded in subject-matter content rather than taught as a generic study-skills course [~M]. However, no specific studies have yet been added to this page's Evidence section, so the strength and scope of the claim cannot be finalized here.

Key moderators and boundary conditions to document when evidence is added:

• Novice dependence. SRL strategies impose demands on working memory and prior knowledge; learners with weak domain knowledge may benefit less from self-directed strategy use until foundational skills are in place [~M] — consistent with the expertise reversal effect. This mirrors the pattern seen in cognitive load reduction improves learning: self-imposed strategic demands compete with the intrinsic demands of the task itself.
• Strategy quality matters. Not all self-regulatory activity is beneficial. Superficial strategies (e.g., rereading, highlighting) show weak or null effects [-M], while elaborative and metacognitive strategies (self-explanation, retrieval practice, planning) show stronger ones [+M]. An SRL claim that aggregates all strategies will overstate the effect — compare Learner highlighting of text gives a small memory benefit but no reliable comprehension benefit, and evidence on other forms of annotation is not yet recorded here, which isolates one concrete strategy with its own evidence base.
• Measurement heterogeneity. Studies measure SRL via self-report questionnaires, think-aloud protocols, and trace data, which correlate poorly with each other; effect sizes vary substantially by measure [~M]. Cross-study synthesis should treat measurement type as a moderator.
• Training vs. disposition. Interventions that teach SRL strategies differ from studies that merely measure SRL and correlate it with achievement; causal claims rest on the former. Correlational designs cannot rule out that stronger learners self-regulate more because they find the material easier.
• Motivational preconditions. Strategy instruction is unlikely to succeed where learners lack the motivation to deploy strategies [~W]; autonomy-supportive contexts — see Autonomy supports intrinsic motivation — are a plausible enabling condition rather than a substitute for strategy training.
• Duration and transfer. Short single-session interventions tend to produce smaller and less durable effects than extended training with opportunities to apply strategies across tasks [~M]; whether trained strategies transfer beyond the trained domain remains an open question.

Design implication. Until evidence entries are added, practitioners should treat this claim as a family-level generalization: embed strategy instruction in authentic subject-matter tasks, model the forethought–performance–reflection cycle explicitly, and avoid equating any self-directed activity with effective self-regulation.

Merged from “Self Regulated Learning Strategies Improve Achievement” (self-regulated-learning-strategies-improve-achievement): SRL interventions typically train one or more of three phases from Zimmerman's cyclical model: forethought (goal setting, strategic planning), performance (self-monitoring, self-instruction, attention control), and self-reflection (self-evaluation, attributing outcomes to strategy use rather than fixed ability). The claim as stated is broad; the strength of the effect depends heavily on which strategies are trained, how explicitly, and for whom. Until Evidence entries are added, treat the claim as plausible but under-documented.

Key moderators to document when evidence is added:

• Strategy type. Meta-analytic work (e.g., Dignath & Büttner on elementary classrooms; Hattie, Biggs & Purdie across levels) suggests effects are larger when training is embedded in subject-matter instruction rather than delivered as a standalone study-skills course [~M]. Generic "learning-to-learn" courses show weak transfer [-M].
• Learner age and prior knowledge. Younger learners and novices benefit from highly explicit, teacher-modeled strategy instruction; older learners can profit from more self-directed formats [~M]. Very low-prior-knowledge learners may lack the domain resources to deploy strategies effectively [-W].
• Duration and practice. One-shot workshops show little durable effect [-W]; sustained training with practice and feedback in authentic tasks is the condition under which achievement gains appear [+M].

Boundary conditions: SRL strategy training presumes learners have some metacognitive capacity and motivational readiness; it does not substitute for adequate prior knowledge or cognitive load management. For novices, heavy self-directed demands can itself impose extraneous load — see Cognitive load reduction improves learning [-M]. This parallels the expertise-reversal pattern documented for scaffolding generally: supports that help novices can burden them differently as competence grows.

Design implication: pair explicit SRL strategy instruction with clear structure and modeling, then fade the scaffolds as learners internalize the regulatory cycle. Assessment for learning provides natural opportunities to practice the self-reflection phase, since feedback invites learners to evaluate outcomes against goals and attribute success or failure to strategy use. Concrete, trainable strategies that map onto the three phases include goal setting and planning in forethought, annotating and self-questioning during performance, and structured reflection prompts during self-reflection.

Open questions for future enrichment: whether effects persist after training ends, whether gains transfer across domains or remain domain-bound, and how SRL training interacts with adaptive learning environments that externalize some regulatory decisions.

Merged from “Self Regulated Learning Strategies Improve Performance” (self-regulated-learning-strategies-improve-performance): Self-regulated learning (SRL) strategies span the full learning cycle: forethought (goal setting, strategic planning), performance (self-monitoring, attention control, help-seeking), and self-reflection (self-evaluation, adaptive strategy adjustment). Interventions typically work by making these processes explicit — through modeling, prompts, checklists, or structured reflection routines — rather than by merely describing them.

Several boundary conditions are well established in the literature. SRL strategy training shows the strongest effects when strategies are embedded in a specific subject domain rather than taught as generic study skills; decontextualized "learning-to-learn" courses tend to produce weak transfer [~M]. Effects are generally larger for younger and lower-achieving learners, who have more room to adopt effective strategies, while already-skilled learners may gain little — a pattern consistent with the expertise reversal effect [~M]. Strategy training also imposes its own cognitive cost: prompting learners to plan and monitor while simultaneously processing new content can overload working memory if the strategies themselves are not yet automatized [~M], so scaffolds should be faded as strategy use becomes routine — see Chunking reduces working memory load and Cognitive overload degrades learning.

A further moderator is duration and dosage: one-off strategy instruction rarely changes behavior, whereas interventions that cycle modeling, guided practice, and feedback over weeks are more likely to produce habitual strategy use [~M]. Prompt-based supports (e.g., embedded planning and reflection prompts in online learning) show positive but smaller and more variable effects than face-to-face training, partly because prompts are easy to ignore without accountability structures [~W].

Open questions include how durable the gains are once prompts and scaffolds are removed, and how well SRL interventions transfer from controlled studies to ordinary classroom conditions, where teacher time and learner motivation vary widely. The training meta-analysis recorded above found larger effects when researchers rather than regular teachers delivered the training.

Merged from “Self Regulated Learning Strategy Instruction Improves Achievement” (self-regulated-learning-strategy-instruction-improves-achievement): SRL instruction is typically delivered through one of two routes: embedding strategy instruction within subject-matter teaching (e.g., teaching students to plan, monitor, and evaluate while solving math problems), or teaching strategies as a separate study-skills curriculum. The embedded route is generally considered more promising because strategies are practiced with real content, whereas decontextualized study-skills courses often fail to transfer — a boundary condition that any future evidence entries should distinguish.

Key moderators to attend to when evidence is added: learner age and prior knowledge (younger and lower-achieving students tend to benefit more from highly explicit, scaffolded strategy instruction, consistent with the expertise reversal effect); duration and dosage (brief one-off workshops on "learning styles" or generic tips show little effect, while sustained practice with feedback is the design that meta-analyses credit); and which phase of SRL is targeted (forethought, performance, or self-reflection). Instruction that combines cognitive strategies with metacognitive monitoring and motivational components (e.g., self-efficacy) is typically stronger than strategy training alone, and connects to broader motivation claims such as autonomy supports intrinsic motivation.

The theoretical grounding is self-regulated learning as a cyclical process (Zimmerman's forethought–performance–reflection model), in which learners who set goals, monitor comprehension, and adjust tactics use study time more effectively. Note also that strategy instruction interacts with cognitive load: novices may need strategies modeled and scaffolded before they can apply them without overloading working memory.

Measurement caveat. Much SRL research relies on self-report questionnaires, which correlate only weakly with actual strategy use; studies that measure online traces, think-alouds, or performance outcomes should be weighted more heavily when evidence entries are added.

Boundary conditions. SRL instruction is unlikely to help when learners already use effective strategies (redundancy), when the strategies taught are generic rather than tied to the domain's demands, or when instruction is delivered as information-only without guided practice and feedback. Claims that generic "study skills" courses alone raise achievement should be treated skeptically relative to claims about embedded, scaffolded strategy instruction.

Open questions. Whether SRL instruction produces durable, transferable strategy use or only near-term gains in the trained domain remains contested; how much learner autonomy should accompany scaffolding (over-scaffolding may undercut the development of self-regulation itself); and whether effects differ across achievement levels once floor and ceiling effects are controlled.

Merged from “Self Regulation Strategy Instruction Improves Academic Performance” (self-regulation-strategy-instruction-improves-academic-performance): Self-regulation strategy instruction sits within the broader tradition described in Self-Regulated Learning: learners who set goals, monitor comprehension, and adjust their approach allocate effort more effectively than learners who rely on implicit habits. Instruction that makes these strategies explicit — modeling, guided practice, and fading — is generally distinguished from merely encouraging students to "try harder"; the claim here concerns strategy instruction specifically, not motivational exhortation.

Several boundary conditions are plausible from general reasoning about scope. First, strategy instruction should interact with learner expertise: novices may benefit from tightly scaffolded, domain-specific strategies, while more advanced learners may find prescriptive strategy routines redundant, consistent with the expertise reversal effect documented for other scaffolds. Second, generic study-skill training delivered outside any content domain has historically shown weaker effects than strategies embedded in authentic academic tasks — the strategy must be practiced on the material learners are actually trying to master. Third, benefits likely depend on learners actually adopting the strategies; instruction that produces knowledge about strategies without sustained practice in using them should not be expected to improve performance.

Open questions that evidence entries should address include: which strategy families (cognitive, metacognitive, resource management) drive the largest gains; how durable the effects are after instruction ends; and how effects vary by age band and subject domain.

Online and self-paced settings (Wong et al. 2019). The two meta-analyses above are of primary and secondary school students. The online-learning review extends the direction of the claim to online environments but qualifies it: providing support is not sufficient on its own (learners gained only when they used the support), feedback alone showed no effect on performance, and the review computed no effect size, so it cannot say how large the gain is.

Merged from “Self-regulation strategy instruction improves achievement” (self-regulation-strategy-instruction-improves-achievement): Mechanism. Self-regulation strategy instruction works by making learners active managers of their own cognition: they set goals, select strategies, monitor comprehension and progress, and adjust effort or approach when feedback indicates a mismatch. This aligns with the broader model described in Self-regulated learning. Strategy instruction is closely related to metacognitive prompts and reflection, which operationalize the monitoring step.

Moderators and boundary conditions. Effects are generally strongest when strategies are taught explicitly, modeled, and practiced within subject-matter content rather than as generic study-skills sessions detached from coursework. Benefits also depend on learners having enough prior knowledge to monitor meaningfully — novices who lack domain knowledge may misjudge their understanding, and strategy instruction cannot substitute for cognitive load management during initial skill acquisition. Younger learners and low-achieving students typically need more scaffolding and external prompts before self-regulation becomes self-sustaining.

Open questions. How durable strategy gains are after instruction ends, and how much training is needed before learners transfer strategies to new domains, remain under-established in the current evidence base for this claim. The training meta-analysis above reports larger effects when researchers rather than regular teachers delivered the training, so classroom-scale effects may be smaller than the pooled estimate.

Related Claims¶

• Parent Implemented Intervention Improves Outcomes — the general claim this finding bears on, with the studies behind it

• Assessment for learning improves achievement — feedback from assessment gives learners the information their self-monitoring acts on.

• Autonomy supports intrinsic motivation — autonomous motivation sustains the effortful strategy use SRL requires.
• Intelligent tutoring systems improve achievement over non-individualised instruction — adaptive systems can offload some regulation decisions while scaffolding learners' own.
• Active learning improves exam performance — active engagement presupposes the self-regulation needed to direct it.
• Achievable micro-goals — goal-setting in the forethought phase is most effective when goals are proximal and attainable.
• 3-2-1 reflection — structured reflection prompts operationalize the self-evaluation phase of the SRL cycle.
• Self-Regulated Learning — the theoretical model (forethought, performance, self-reflection) underlying this claim.
• Activation improves learning — activating prior knowledge is a forethought-phase strategy that supports self-regulated planning.
• Learner highlighting of text gives a small memory benefit but no reliable comprehension benefit, and evidence on other forms of annotation is not yet recorded here — a concrete SRL strategy with its own evidence base
• Chunking reduces working memory load — cognitive constraints that shape which SRL strategies are feasible
• Cognitive load reduction improves learning — explains why strategy demands can backfire for novices
• Expertise reversal effect — the same strategy can help novices and hinder advanced learners
• Cognitive overload degrades learning — unautomatized self-monitoring adds load that can overwhelm working memory
• Clear structure improves learning — externally provided structure scaffolds the planning and monitoring phases until learners internalize them
• Assessment for learning improves achievement — feedback and self-assessment are core SRL self-reflection supports.
• Activation improves learning — activating prior knowledge is a forethought-phase SRL strategy.
• Learner highlighting of text gives a small memory benefit but no reliable comprehension benefit, and evidence on other forms of annotation is not yet recorded here — annotation is a concrete monitoring strategy that SRL instruction can teach.
• Chunking reduces working memory load — taught study strategies must respect cognitive load constraints.
• Cognitive load theory — the theoretical constraint on when strategy practice can be self-managed.
• Autonomy supports intrinsic motivation — self-regulation instruction works best when learners own their goals rather than follow imposed routines.
• Clear structure improves learning — clear task structure gives learners the stable goals and criteria that self-monitoring requires.
• Cognitive activity is a kind of behavior and should be subject to the same learning laws — related
• Cognitive engagement is the least well-defined engagement perspective and conflates with motivational constructs — related
• Strategy Instruction Improves Writing Quality — related
• Metacognitive Strategies Improve Learning — possibly the same claim (merge candidate)
• Process-tracing measures should accompany outcome measures because process changes may not be immediately reflected in outcomes — related
• Reflective Practice Improves Outcomes When Structured — related
• Self Assessment Accuracy Is Low Without Training — a narrower finding that bears on this claim
• Metacognitive strategy instruction, which includes comprehension monitoring, improves academic performance by a medium amount, and in one non-randomised study comprehension-monitoring training raised low achievers' reading scores — a narrower finding that bears on this claim
• Self-regulated learning models treat self-monitoring as a core process through which learners notice gaps and adjust strategy — a narrower finding that bears on this claim
• Strategy Instruction Improves Learning — possibly the same claim (merge candidate)
• Self Regulated Learning Predicts Achievement — possibly the same claim (merge candidate)
• Short-term self-regulatory strategy training, including within regular mathematics lessons, enhances students' self-regulatory judgments and mathematics performance — a narrower finding that bears on this claim
• Student-created Facebook groups support self-directed design learning and sharing of expertise outside the formal curriculum — related
• Logged time investment on an online mathematics preparation platform differed significantly across SRL intervention groups, rising from control through diary and training + diary to training + diary + peer feedback groups — a narrower finding that bears on this claim
• Self-regulated learning is domain specific, with greater cognitive strategy use in social studies and English than in mathematics — related
• Self-regulated learning strategies account for up to 51% of the variance in academic performance, with metacognitive regulation strategies the strongest predictors — related
• In a randomized trial of SRL interventions in an online mathematics preparation course, group and time interacted significantly on SRL knowledge, self-efficacy and the SRL overall score, with Group TDP (training + diary + peer feedback) showing the most prominent gains — related
• Strategy-control in interactive instruction divides into four tactic categories: survey, learning, evaluation, and review — related
• Strategy Instruction Improves Academic Performance — possibly the same claim (merge candidate)
• Strategy Instruction Needs Conditional Knowledge — related
• Students report peer support and distraction as effective coping, rarely self-regulation or professional help-seeking — related
• Students showed deficiencies in maintaining and monitoring their reading plan within the three-element view of metacognition — a narrower finding that bears on this claim
• Guiding analytics for learners can improve mathematics achievement, retention, learning strategies, and reduce math anxiety — related
• Learning paths used for SRL improved accuracy and performance without increasing effort, and tutoring-system benefits required sustained practice — a narrower finding that bears on this claim
• Metacognitive activity alone does not equate to effective regulation; unaccompanied metacognitive processes may be counterproductive — related
• A DLS with multiple scaffolds improved achievement and SRL attitudes, with high-achieving students beating traditional teaching but not flipped classroom — a narrower finding that bears on this claim
• Enriched DLP data enable two types of theory testing: sustained observation of individuals in a single setting and modeling the same type of learner across contexts — related
• Feedback about self as a person is the least effective feedback level; task, process, and self-regulation feedback support learning and combine for greater impact — related
• All types of regulation can be explicitly taught and improved with time, effort, and effective feedback — related
• Purpose in learning increases engagement, self-regulation, and academic performance — related
• The review reports that connecting possible selves to concrete strategies is an essential precursor to positive behavior, beyond merely holding possible selves — related
• Over-reliance on AI scaffolding risks learned helplessness, so focus should shift to fostering self-regulated AI interaction — a narrower finding that bears on this claim
• AI feedback supports or undermines self-regulated practice depending on whether it supports or substitutes for internal monitoring — related
• genAI-supported work can improve while the constructive processing underlying durable expertise erodes (the performance–metacognition dilemma) — related
• The framework's broader relevance rests on a shared learning structure of embodied skill, expert feedback, and self-monitoring, not direct equivalence across domains — related
• AI supporting SRL aims at end outcomes beyond SRL itself, most frequently improved academic performance — related
• Students report heightened autonomy in English learning through self-directed regulation, personalized feedback, and active evaluation of ChatGPT suggestions — a narrower finding that bears on this claim
• When AI assistance is withdrawn, student performance tends to decline, revealing a lack of internalized learning strategies — related
• Adult learners expect AI to enhance autonomy through choices, flexible learning spaces, metacognitive awareness, and structured self-assessment — a narrower finding that bears on this claim
• GenAI can support learner agency through self-regulated learning, self-efficacy, and feedback literacy under appropriate conditions — a narrower finding that bears on this claim
• Metacognitive awareness shapes whether learners use ChatGPT reflectively or copy shallowly, and metacognitive support sustains self-regulated learning — a narrower finding that bears on this claim
• A randomized controlled trial with 86 K-12 students found a significant gain in self-regulated-learning strategy use from agentic coaching systems — related
• LLMs can deliver scalable, personalized, interactive feedback almost instantly, reducing dependency on teacher availability and supporting self-regulated learning in large courses — a narrower finding that bears on this claim
• Metacognitive strategy correlations with achievement vary widely across studies, from negative values near -.28 to values such as .66 and .94 — related
• Learner characteristics — prior knowledge, self-regulatory skills, cognitive styles, and attitudes towards learning — moderate hypermedia learning effectiveness — related
• Metacognitive prompts improve learning — prompts operationalize the monitoring step of self-regulation
• Retrieval practice improves long-term retention — a strategy learners can be taught to deploy on their own
• Goal setting improves performance — goal-setting is the planning phase of self-regulation
• Student self-graphing of CBM scores is reported as motivating during secondary prevention — related
• Holding a strong goal intention alone does not guarantee goal achievement — related
• Empirical studies support Zimmerman's cyclical and multi-level SRL models, including a linear trend favoring training more SRL phases — a narrower finding that bears on this claim
• Empirical studies support Zimmerman's SRL models, including expert-novice differences and phase-training effects — a narrower finding that bears on this claim
• Cognitive and metacognitive prompts in learning journals helped early in a term but became detrimental by its end; adaptive fading-out mitigated this — related
• Self-regulated learning is associated with increased academic achievement and improved learning outcomes for students — a broader claim this one bears on
• SRL interventions are effective in improving both SRL activity and achievement in higher education — a narrower finding that bears on this claim
• Teachers can implement the Self-Determined Learning Model of Instruction across varied subjects and settings with students having diverse learning needs — related
• Self-monitoring of work quality requires three student capacities: appreciation of high quality, evaluative skill, and a store of modification tactics — related
• 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 — a narrower finding that bears on this claim
• Successful discoverers regulate learning more systematically, planning experiments and monitoring progress, while unsuccessful learners work unsystematically — a narrower finding that bears on this claim
• SRL training effects vary by outcome category, largest for metacognitive strategies (g = .40) and smallest for cognitive strategies (g = .32) — related
• Explicit training in constraint-seeking questions showed only moderate, non-generalizing benefits, whereas prompting explanation supports better question asking — related
• 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 — a narrower finding that bears on this claim
• Teachers' SRL&T implementation efficacy depended on developing SRL understanding and autonomy in designing SRL-enriched modules — related
• Direct SRL promotion in observed classrooms was dominated by implicit strategy instruction, metacognitive support, and metacognitive reflection, with explicit strategy instruction rare — a narrower finding that bears on this claim
• Behavioral and environmental regulation knowledge during digital SRL training predicted biology exam performance — a narrower finding that bears on this claim
• Cognitive Load Theory lacks a motivational focus, which becomes problematic when interpreting interventions that foster effortful learning strategies — related
• Self-selected interventions tend to yield stronger effects on motivation and overall efficacy — related
• SRL training programmes improve SRL strategies, motivation, academic achievement and reduce anxiety across age groups — related
• The pooled effect of self-regulated learning does not differ significantly by school level — related
• The pooled effect of self-regulated learning does not differ significantly by strategy type (cognitive, metacognitive, resource management, motivational) — related
• Self-regulated learning strategies have a large pooled effect (d = 0.859) on academic achievement across 21 Turkish studies — related
• A daily learning diary alone (Group D) did not produce statistically significant pre-post gains on any measured outcome in an online mathematics preparation course — related
• Systematic prompting of an LLM can generate cognitively activating formative feedback aligned with research-based scaffold types (demonstrated, not yet empirically validated) — related
• Interventions delivered by teachers or task materials are more effective than researcher-delivered interventions for two self-regulated learning outcomes — reports the opposite
• Interviewed students reported that the SRL intervention elicited self-regulated learning behaviors across goal setting, strategic planning, self-observation, and self-reflection — related
• Self-questioning improves comprehension — a narrower finding that bears on this claim
• Formative-assessment-based LA shows positive effects on achievement, motivation, and understanding, with personalized feedback reading time mattering — related
• Instructional systems that do not explicitly develop evaluative expertise set up artificial but potentially removable performance ceilings — related
• Self-regulated learning abilities improved significantly in the GPT-feedback VR group, supporting self-reflection, goal setting, and strategy adjustment — a narrower finding that bears on this claim
• Research on teacher-student interactions and elementary SRL shows major gaps: no studies of emotion regulation, few on cognition regulation, and 70% reliance on student self-reports — related
• Some SRSD students, particularly those with poor working memory, struggled to implement the planning strategies they were taught — a narrower finding that bears on this claim
• Cognitive and metacognitive prompts did not increase self-reported online strategy use, the quality of strategies in learners' notes, or learning outcomes in hypermedia learning — a narrower finding that bears on this claim
• Low-prior-knowledge students struggle to deploy key self-regulatory processes during learning — related
• Review evidence: students' SRL improves from cognitive-approach PD interventions only when students themselves participate, not when only their teachers are trained — related
• Generative learning strategy prompts with metacognitive feedback yield higher self-regulation, strategy-use quality, recall and comprehension than strategy tools alone, controlling for prior knowledge — related
• Lack of knowledge of cognition, regulation of cognition, and intrinsic motivation hinder learners' metacognitive strategy use — a narrower finding that bears on this claim
• AI introduced without pedagogical scaffolding can replace rather than reinforce learners' self-regulatory processes — related
• Attention and self-regulation skills are trainable in children, with reported behavioral and neural changes across curricula and intervention programs — related
• The evidence base is concentrated in self-reported metacognitive regulation, with planning support and non-self-report measures under-represented — related
• Self-regulated reading processes are positively associated with reading and learning outcomes — a narrower finding that bears on this claim
• Advanced learners may benefit from learner-controlled selection of learning tasks and levels of generality — a narrower finding that bears on this claim
• The largest reported effects came from interventions training reflection on own learning and teaching through metacognitive judgements (Michalsky 2021: d = 3.12; Pieschl et al. 2021: d = 2.9) — a narrower finding that bears on this claim
• Motivational apprenticeship progresses through three phases from expert-directed to learner-directed control — related
• Scaffolding effectiveness depends on knowledge base: high-guidance scaffolding suits less advanced learners, high-self-regulation scaffolding suits advanced learners — related
• Interventions targeting SRL or EF show little evidence of far transfer to the other construct — related
• Generating questions is effective for university students but likely ineffective for younger elementary students, working at intermediate ages only with instructional scaffolding — related
• Metacognitive prompting increases domain-general metacognitive SRL activities (goal specification and strategic planning) in young learners in a CBLE — a narrower finding that bears on this claim