Self-monitoring¶
Principle · All principles
Evidence · 29 claims (10 for, 16 mixed, 3 against) · 32 studies (12 causal, 8 quant-synthesis, 6 review, 3 associational, 3 theoretical),q1–q4· 7 of 32 report an effect size · 20 claims rest on one study
Conditional relationship¶
This page owns checking one's own work while the task is still under way: a learner pauses at set points, compares what they are doing (their comprehension of a passage, the steps of a solution, a draft against a checklist, whether they are on task) with a stated criterion, records the result, and does something with it before going on. For a learner who has a criterion they can read, a record they can make quickly, and a concrete next move for each result (reread, fix the step, ask for help, carry on), adding taught and prompted self-monitoring to the task is expected to produce better performance on that task (immediate-performance, and for reading conceptual-understanding) and, where behaviour is the target, more time on task, than the same task without it. Whether the habit continues once prompts are removed, and whether it carries to other tasks, is a separate claim the evidence here does not settle.
The relationship is conditional on four things. Monitoring accuracy: learners' judgements of their own learning are often wrong, especially just after study and for learners with little task knowledge (novice), so a record built on a felt sense of "I get it" can steer them wrongly; monitoring checked against a concrete test (answer a question, compare with a worked answer, count the errors) is expected to work where a confidence rating is not. A next move: noticing a problem helps only if the learner knows what to do about it and has time to do it. The criterion: a specific standard, and for a novice one about the process (the steps of a strategy) rather than only the result, is expected to make the check more useful. Cost: frequent stops interrupt the task, and a record kept with no use (a diary on its own) has shown no gain.
No claim in the wiki isolates self-monitoring, with everything else held the same, against no self-monitoring on a learning outcome. The nearest evidence is: comprehension-monitoring strategy training against conventional teaching (one non-randomised classroom study), a meta-analysis of metacognitive strategy instruction of which monitoring is one part, self-recording of on-task behaviour in single-case studies (behaviour, not learning), and metacognitive prompts in computer-based environments.
How the converted siblings sit around it: Self-Regulated Learning holds the whole plan–monitor–act cycle and regulation training; self-monitoring is its middle phase, studied here on its own as a design move, and this page does not repeat that page's model of training and prompts. Goal Setting & Monitoring holds what the goal should be (specific, challenging, process or outcome, with an if-then plan) and how progress over days or weeks is made visible; this page takes the goal as given and is about checks within a task. Reflection holds examining a completed performance to change the next one; self-monitoring happens before the task is finished.
Default design, while the relationship is untested¶
The earlier page's guidance (criteria, checkpoints, a strategy menu, feedback to confirm the learner's judgement), kept as a concrete default a designer can act on and revise. Each step says what its evidence is.
- Name the criterion before the task, in the learner's terms. Give a short checklist, a rubric line, a worked answer or a model to compare against (for reading: "Can I say what this section said, in one sentence, without looking?"). For a
novice, phrase at least some items as process ("Did I check the units?") rather than only the result ("Is my score above 80%?"). Basis: Process goals lead to better skill acquisition for novices than outcome goals. [~M] (high-school writing revision; a goal study, carried here to monitoring criteria); Specific, difficult goals lead to higher performance than easy or vague "do your best" goals. [~M] (a review of goal-setting research, mostly outside education). The checklist itself is an untested proposal. - Set the checkpoints in advance, not only at the end. Reading: a stop after each section or each page (about every 5–10 minutes of reading). Problem solving: a stop after each solved item, before the next. Writing: a stop after each paragraph or after the draft, before submitting. On-task behaviour: a signal at intervals (the single-case studies summarised on the claim page used ratings mostly every 15 to 60 seconds with an app; for a whole class, a tone every few minutes is a proposal). The intervals for learning tasks are untested proposals; the behaviour interval is from Self Monitoring Improves On Task Behavior [+M].
- Make each check a test, not a feeling. At each stop the learner does something that can be wrong: answers a question about the section, reworks the last step another way, compares with a worked answer, counts the checklist items met. Ask for a confidence rating only after that attempt, and never use the rating alone as evidence of learning. Basis: Judgments of learning are often inaccurate [-M] (laboratory and video-lecture experiments with undergraduates: fluency raised predicted learning without raising recall).
- Attach a next move to every result. Give a short menu printed beside the checklist: if I could not answer, reread the section and try once more; if the step is wrong, find the first wrong line and fix it; if it is still wrong after one try, mark it and ask; if all is well, go on. The menu is an untested proposal; the comprehension-monitoring training in 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 [+M] taught detection and repair together.
- Teach it before asking for it. In the first session, model the whole routine aloud on one task (stop, check, record, choose a move), then have learners do it on two or three items while you check their records against the work. Basis: Self Assessment Accuracy Is Low Without Training [~M] (80 Dutch pre-university students: those who studied modelling examples of self-assessment rated their own performance more accurately, ηp² = .10). The single-case behaviour studies trained learners for 20–45 minutes before self-recording began (Self Monitoring Improves On Task Behavior [+M]).
- Check the learner's record against an outside score, and show them the match. On some checkpoints, compare what the learner recorded with what a teacher, an answer key or software finds, and tell them where they matched and where they did not. Calibration feedback of this kind is described on the self-assessment claim pages as what improves accuracy, but in their Discussions, not their entries; untested proposal.
- Keep the record short and use it. One line or one tick per checkpoint; a record that nobody reads and that leads to no change is not enough. Basis: 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 [-M] (one randomised trial; no difference detected, equivalence not tested).
- Plan the hand-over across sessions. A default arc for a target several weeks away (untested proposal throughout):
- Sessions 1–2 (support high): the teacher models; learners use a printed checklist with three to five items and a fixed checkpoint after every section or item; the teacher co-checks every record.
- Sessions 3–5 (support shared): learners run the routine themselves; the teacher or software checks the match on about one checkpoint in three; the checklist stays visible.
- Session 6 onward (support low): checkpoints become learner-chosen ("stop where it got hard"), the printed checklist is removed for learners who no longer need it, and an outside check of the match happens once a week.
- Moving on: a learner moves to the next stage once their own judgement matches the outside score on about four of five checkpoints in two consecutive sessions, and returns a stage if the match falls below that. Learners whose first checks already match can start at the shared stage. Each segment of in-task checking should take under a minute at a reading or problem stop, so the checks take no more than about a tenth of task time.
When a condition is not met: if no outside check of the learner's judgement will ever happen, use items whose answers the learner can check themselves (an answer key, an inverse operation, a worked answer) rather than ratings; if the learner has no move to make after a check (no time, no help, no second attempt), drop the check, because it measures without helping.
Fitting the design to a situation¶
The three facts that most change the decision:
- What the learner knows about this task. A
novicecannot judge their own work well and is often overconfident; anadvancedlearner may monitor well enough without a checklist. If unstated, ask: when this learner says they understand, how often are they right? Try two items and compare. - What is monitored, and against what. Comprehension, the steps of a procedure, a draft against a rubric and on-task behaviour are different checks with different evidence. If unstated, ask: what exactly should the learner notice, and what would they compare it with?
- Who can check the learner's judgement, and how often. Without an outside comparison, a learner's record cannot be corrected. If unstated, ask: will a teacher, a peer, an answer key or software ever compare the learner's record with the work, and when?
| If the brief says… | Then change… | Basis |
|---|---|---|
Learners are novice on the task, or low achievers |
Use a printed process checklist, checks that are tests (answer a question, rework a step) not ratings, every record co-checked in the first two sessions, and more sessions at the shared stage before hand-over | Prior Knowledge Needed For Accurate Self Assessment [~M] (synthesis of 22 meta-analyses; undergraduates' exam predictions); Process goals lead to better skill acquisition for novices than outcome goals. [~M] (writing revision, high school) |
Learners are advanced, or their first checks already match an outside score |
Start at the low-support stage: learner-chosen checkpoints, no printed checklist, a weekly outside check | Untested; the age and expertise moderators on the self-assessment claims (Self Assessment Accuracy Is Low Without Training [~M]: closer agreement in advanced courses) suggest it |
Learners are child or adolescent with, or at risk for, attention difficulties or disabilities, and the problem is staying on task |
Self-recording of on-task behaviour at short cued intervals (an app, a vibrating timer or a tone), after a training session; record the behaviour, not the learning, and check separately whether work completed changes | Self Monitoring Improves On Task Behavior [+M] (single-case studies, grades 4–12, on-task behaviour only) |
| Goal is reading comprehension, learners are low-achieving secondary students | Teach a comprehension-monitoring routine (stop, summarise, mark what is unclear, repair) over several weeks, with a stop at every section | 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 [+M] (one non-randomised study, 127 Nigerian senior-secondary students, raw gains 18.92 against 0.93; plus a meta-analysis of metacognitive strategy instruction, g = 0.50 at posttest and 0.63 at follow-up, of which monitoring is one part) |
Setting is online-self-paced, no teacher present |
Build the checks into the software as task-specific prompts at natural pauses, each followed by an item with automatic feedback that shows the learner whether their judgement was right; do not rely on a free-text diary | Metacognitive prompts improve learning [+M] (meta-analysis in computer-based environments, g = 0.40 on learning outcomes, larger with feedback, task-specific and adaptive prompts); diary alone [-M] |
classroom with one teacher and many learners |
Run whole-class checkpoints on a common signal; every learner records on a one-line card; the teacher compares the cards of four or five learners per checkpoint with their work, rotating so each learner is checked at least weekly; whole-class feedback on the commonest mismatch | Untested; the behaviour evidence is from individual students in single-case designs |
| Facilitator time is scarce: volunteers, busy shifts, a facilitator who drops in | Keep the routine to two fixed pauses per session (one early, one midway) with a three-line card: what I am confident about and the check that shows it, what I am unsure about, my next move. Partners check each other's cards against the posted criteria (the task's own standard, or pictures of it); the group keeps one shared progress board; the facilitator looks at one pair's cards per pause instead of every record, and cards are kept, not graded | Untested proposal; the partner check stands in for the outside score in step 6, which self-assessment accuracy is low without training [~M] says is needed |
| The objective itself names a self-check routine (pause, say what I know, what I am unsure of, my next move) | Use that routine as the learner's script, word for word, at the checkpoints the brief sets; attach one quick check to the "what I know" line (redo the step, answer one item, compare with the standard) so a confident wrong answer is caught, and let the "unsure" line trigger the next move from the menu in step 4. Do not replace the requested routine with a different one | Untested proposal; the check on the "know" line is what judgments of learning are often inaccurate [-M] calls for |
| Mixed mode: some learners remote, some in the room, or learners on phones only | Use one shared digital record for everyone (a form or poll with one tick per checkpoint and the check item beside it), so remote and in-room records are checked the same way; on a phone, keep the checklist to three items and the check to one tap or one short answer | Untested proposal |
| Time is one session only | Teach and run the routine once on two or three items with every record checked; report the match between judgement and score; do not claim a habit or later effect | Untested proposal |
| Learners have low confidence, or low literacy | Use pictures or a three-point face scale instead of written criteria, let learners show the check by doing (point to the error, redo the step), and point out where their judgement was right as well as where it was wrong; underconfident learners may stop using a strategy that is working | Untested proposal; underconfidence is described in the self-assessment accuracy [~M] claim's Discussion, not its entries |
| Adults in a work setting | Write the checklist from the job's own standard (a procedure, a safety step, a quality criterion); keep records private to the learner and a supervisor, so the check is not read as surveillance; check against outcomes the work already produces (errors caught, rework) | Untested proposal |
| A product or performance for a real audience | Monitor drafts privately against the audience's criteria (what the reader or client needs) before anything is shown; the audience sees the product, not the checklist or the learner's ratings | Untested proposal |
| Stakes are high, or the self-record will feed a grade or an adaptive system | Never route a learner on a self-rating alone; use the check items' scores, and keep the self-ratings as data about calibration | Judgments of learning are often inaccurate [-M] (laboratory and video-lecture experiments; carried here to adaptive and graded use) |
| Task is open-ended (an essay, a design) with no single right answer | Give an annotated exemplar for each criterion and ask the learner to point to the evidence in their own draft for each, rather than score it | Untested; the self-assessment claim's Discussion says calibration is weaker on open-ended work, but its entries do not test it |
Five of the thirteen rows rest on a claim, and the advanced-learner row leans on a moderator reported in one. Only two of the five (comprehension monitoring for low-achieving secondary readers; self-recording of on-task behaviour) test monitoring itself, and one of those measures behaviour rather than learning; the others carry a neighbouring finding (goal setting, metacognitive prompts in general, judgement accuracy) and say so.
Observation, state and explanation¶
What can be observed is the learner's record at each checkpoint (a tick, a rating, a note, a chosen next move), what they did next, and the outside score on the same work. "Monitors accurately", "is overconfident" and "has internalised the routine" are inferred states. A filled-in checklist shows only that the checklist was filled in.
| Response | Plausible explanations | Observation that could change the interpretation |
|---|---|---|
| Ticks "understood" at every checkpoint, then fails the check items | Judging on fluency or familiarity; too little task knowledge to see the gap; the criterion was not understood; ticking to finish quickly | Ask for a one-sentence summary or a worked step before the tick; give the learner an exemplar to judge against the same criterion; compare ticks on a familiar and an unfamiliar section. |
| Accurate record, same mistake on the next item | No usable next move; no time to act; the move chosen does not fix this error | Ask what they would do about the problem; offer the move menu and record which is chosen; give time for a second attempt. |
| Rates their work low when it is right | Underconfidence; a criterion read as stricter than intended; anxiety about being judged | Show the match between their rating and the score over several checkpoints; ask what they think the criterion requires. |
| On-task ratings rise, work completed does not | Recording changed attention but attention was not what limited learning; ratings drift upward without real change | Compare the learner's on-task record with an observer's on a sample of intervals; record work completed and accuracy separately. |
| Stops monitoring once prompts are removed | Prompted performance, not an acquired habit; the routine costs more than it seems to give; the goal is not one the learner values | Remove prompts on one task only and observe; ask what the checks have done for them; return to the shared stage with a shorter routine. |
| Spends long at each checkpoint, finishes less | Too many checklist items; the stop interrupts a task that needs continuity; perfectionism | Cut the checklist to three items, move stops to natural breaks, and compare the time per checkpoint and the work completed. |
These rows are proposals, untested with learners as diagnostics. A check item is itself practice and changes what it measures, so record each one, and keep the explanations that remain open rather than choosing the one whose name fits.
Evidence and qualifications¶
No claim here compares the same task with and without self-monitoring alone on a learning outcome. The claims below test neighbouring parts of the relationship; they differ in learners, outcomes and designs, so do not rank them by effect label.
- 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 [+M]: a meta-analysis of 48 metacognitive strategy instruction interventions (comprehension self-monitoring is one component of what was taught) found g = 0.50 on academic performance at posttest and g = 0.63 at a later follow-up, with low-SES students benefiting most long-term (read as abstract only). A non-randomised classroom study of 127 low-achieving Nigerian senior-secondary students found much larger reading-comprehension gains after comprehension-monitoring strategy training than after conventional teaching (raw gains 18.92 against 0.93; no standardised effect size; coded
r1). It supports teaching monitoring with repair; it does not separate monitoring from the other strategies taught. - Self Monitoring Improves On Task Behavior [+M]: two meta-analyses of single-case studies with K-12 students with or at risk for disabilities. With an app (I-Connect, 14 students, ratings mostly every 15–60 seconds after 20–45 minutes of training), on-task behaviour rose in every one of 14 comparisons, an average 198% increase, similar with or without added reinforcement. With tactile-cued devices (nine studies), median Phi = 0.74 when self-monitoring began and a smaller, more mixed 0.32 when it was removed. The outcome is on-task behaviour, not achievement; the claim page says so.
- Metacognitive prompts improve learning [+M]: a meta-analysis of experiments in computer-based learning environments found that prompts to plan, monitor and evaluate raised learning outcomes (g = 0.40) and SRL activity (g = 0.50) against no-prompt controls, more when prompts came with feedback, were task-specific and adapted to the learner; a systematic review of 35 online studies adds that lower-prior-knowledge learners in one study benefited only once trained to use the prompts. Monitoring prompts are not separated from planning and evaluation prompts.
- Self-regulated learning models treat self-monitoring as a core process through which learners notice gaps and adjust strategy [+M]: two theoretical syntheses (Zimmerman 2002; Butler & Winne 1995) that place self-monitoring at the centre of self-regulated learning and argue that feedback works through the learner's own comparison of performance with a goal. They supply the mechanism; neither entry reports a test of it.
- Process goals lead to better skill acquisition for novices than outcome goals. [~M]: high-school students learning writing revision who were given process goals outperformed those given outcome goals, and shifting to outcome goals once the skill was mastered could help; a handbook chapter synthesises related work. Carried here to the choice of what a novice monitors.
- Specific, difficult goals lead to higher performance than easy or vague "do your best" goals. [~M]: a narrative review of goal-setting research (mostly work performance), coded
q2; its Discussion says goals work best with feedback that lets learners monitor progress. One study, so capped at M; the earlier page marked it[~S], above its cap. - Limits. Judgments of learning are often inaccurate [-M]: undergraduates watching a fluent instructor predicted more learning but recalled no more, and words in a larger font got higher judgements of learning but were recalled no better, even after a warning. Self Assessment Accuracy Is Low Without Training [~M]: modelling examples of self-assessment made 80 pre-university students' self-ratings of genetics problem solving more accurate (ηp² = .10); a meta-analysis of 51 higher-education studies found self–teacher agreement inconsistent, closer in advanced courses and in science. Prior Knowledge Needed For Accurate Self Assessment [~M]: across 22 meta-analyses self-evaluation and measured performance correlated only moderately (mean r = .29), more closely for specific, familiar tasks; in one undergraduate course (n = 96) the lowest scorers were grossly overconfident. 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 [-M]: in a randomised four-group trial with prospective university students, the diary-only group showed no significant pre–post gain on any measure (equivalence not tested), while training combined with the diary raised SRL knowledge, an SRL score and self-efficacy but not mathematics scores [~M]. Together these say monitoring is only as good as its accuracy, that accuracy can be trained, and that recording without training or use did not help.
- Self Assessment Improves Self Regulated Learning [+M]: four meta-analyses of 19 studies of self-assessment interventions in K-12 and higher education: a small effect on SRL strategy use (d = 0.23) and a larger one on self-efficacy (d = 0.73), the latter moderated by whether the intervention included a monitoring component. The outcomes are strategy use and self-efficacy, not achievement.
None of these measures whether a self-monitoring habit persists after prompts are withdrawn, or transfers to a new task, against a comparison.
The evidence by question¶
- Does teaching learners to check their own work during a task improve their performance on it? 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 [+M]
- Can learners' own monitoring be trusted, and can it be trained? Self Assessment Accuracy Is Low Without Training [~M]
Further evidence, not yet read against this model¶
- Fluent Illusions Mislead Self Assessment [-M]: carries the same two evidence entries (Carpenter et al. 2013; Rhodes & Castel 2008) as Judgments of learning are often inaccurate [-M], which is cited in the model above; a likely duplicate. Its own entries do not support the "misdirects further study" half of its title.
- Providing grade estimates after each exam improved secondary students' calibration accuracy over a school year, regardless of the level of reflection support [+W] — attached 2026-10-19 from Nederhand et al. (2020), which proposed "Ask students for grade estimates after each exam as an easy-to-implement way to improve calibration accuracy in secondary education"; tests this page's relationship.
- Whole-task, metacognitive knowledge, and external standard interventions significantly improve monitoring accuracy in problem solving [+W] — attached 2026-10-21 from Noortje Janssen · Ard W. Lazonder (2024), which proposed "For problem-solving tasks, use whole-task, metacognitive knowledge, or external standard interventions and avoid timing interventions".
- Informing learners about the to-be-monitored cue before the problem-solving phase improves self-assessment accuracy compared with informing them only afterwards [+W] — attached 2026-10-21 from Waldeyer et al. (2024), which proposed "Inform learners about the to-be-monitored self-assessment cue before, not after, the problem-solving phase".
Objective and learner-valued goal¶
The designer's objective is usually better performance on the task now and, later, a learner who checks their own work without being told. Elicit separately what the learner wants from the checks: to finish faster, to avoid being caught out, to stop feeling lost, to be trusted to work alone. Agreement and divergence are both observations. A learner who values finishing will tick boxes quickly; one who fears being judged may rate everything low or leave the record blank; one who wants independence may welcome a routine that lets them drop the teacher's checks sooner. A blank or uniform record is not, on its own, a monitoring deficit.
For example, an adult apprentice electrician may want to pass a practical assessment and not be the one who caused a fault on site, while the designer's objective for the week is accurate self-checking of wiring against a step checklist. The checklist serves the designer's objective; asking the apprentice which faults they most fear making, and putting those steps first on it, serves theirs. Record both, so that a full checklist is not read as the safety the learner came for.
What would revise this model?¶
The expectation should weaken if, with comparable learners and the same task, adding trained, test-based self-monitoring with a next-move menu shows no gain over the task alone on an aligned outcome, or if gains appear only on self-reported regulation and never on scored work or behaviour traces. If learners whose judgements match outside scores do no better than those whose judgements do not, the mechanism (accurate detection leads to useful action) is wrong for that task. If gains vanish when prompts are withdrawn, the model describes prompted performance, not an acquired habit, and should say so. If on-task self-recording raises on-task behaviour without changing work completed or accuracy, behaviour monitoring should be treated as classroom management, not as a learning design.
Accuracy of judgement, on-task behaviour, immediate task performance, delayed retention, self-efficacy and continued use without prompts are separate claims. The present evidence establishes no checkpoint interval for learning tasks, no number of training sessions, no calibration threshold for hand-over and no durable transfer.
Claims¶
- More frequent practice-test participation predicts higher absolute accuracy of item-specific judgments in the final exam, regardless of feedback [~W]
- Self-scoring improves primary students' monitoring accuracy on math problem-solving tasks to near-accurate levels [+W]
- Self-scoring improves regulation accuracy for the whole sample, but not significantly for low- and high-performing students on division tasks [~W]
- The Monitoring Exercise protected against overconfidence in the second exam score prediction but did not affect exam scores [~W]
- Teaching cognitive strategies is associated with more accurate self-monitoring, while metacognitive strategy instruction shows no relation [~W]
- Men reported higher monitoring judgments on health math problems than women, even accounting for performance accuracy [~W]
- After self-scoring, the monitoring-accuracy gap between low- and high-performing students remains on multiplication (small) but disappears on division [~W]
- Explicit metacognition has severely limited access to underlying cognitive processes, and metacognitive reports can be inaccurate [-W]
- Monitoring accuracy interventions are less effective for secondary school students than for elementary students and adults [~W]
- Interventions to improve monitoring accuracy in problem-solving tasks have a small positive overall effect (g = 0.25) [+W]
- Monitoring accuracy interventions show larger effects in laboratory settings than in classroom settings, but classroom effects remain significantly positive [~W]
- Providing a standard answer to compare against improves the accuracy of students' retrospective monitoring judgments [~W]
- Boundary conditions: explicit relation-focused instructions and no access to products during judgment are needed for mapping and drawing to improve monitoring accuracy [~W]
- Students feel quite confident about their monitoring and regulation judgments even before self-scoring [~W]
Related Principles¶
- Goal Setting & Monitoring — monitoring depends on having a target worth tracking.
- Formative Assessment — monitoring improves when learners receive evidence about current performance.
- Purposeful Reflection — reflection often uses self-monitoring data to plan next steps.
- Guided Practice — learners often need coached monitoring before doing it independently.
- Self-Regulated Learning — the whole plan–monitor–act cycle, of which this is the monitoring phase.
Examples¶
- Reading check stops: Learners pause after a section to summarize, note confusion, and choose a repair strategy.
- Writing revision checklist: Learners compare a draft against criteria before submitting it for feedback.
- Math accuracy monitoring: Learners check whether units, operations, and solution reasonableness match the problem.
- Attention or pacing tracker: Learners log focus intervals, interruptions, or work completion during independent study.
- Self-Monitoring of Behavior, Whole-class self-monitoring and Self-monitoring in writing — strategy recipes that apply this principle.
- Self-monitoring — the element page.
- Teach students to monitor and reflect on their own behavior
Key Sources¶
- Bol, L., Campbell, K. D. Y., Perez, T., & Yen, C. J. (2016). The effects of self-regulated learning training on community college students' metacognition and achievement in developmental math courses. Community College Journal of Research and Practice, 40(6), 480-495. https://doi.org/10.1080/10668926.2015.1068718
- Cho, K., Cho, M. H., & Hacker, D. J. (2010). Self-monitoring support for learning to write. Interactive Learning Environments, 18(2), 101-113. https://doi.org/10.1080/10494820802292386
- Farrell, A., & McDougall, D. (2008). Self-monitoring of pace to improve math fluency of high school students with disabilities. Behavior Analysis in Practice, 1(2), 26-35. https://doi.org/10.1007/bf03391725
- Ghanizadeh, A. (2017). The interplay between reflective thinking, critical thinking, self-monitoring, and academic achievement in higher education. Higher Education, 74(1), 101-114. https://doi.org/10.1007/s10734-016-0031-y
Page metadata
| Field | Value |
|---|---|
type |
principle |
id |
self-monitoring |
title |
Self-monitoring |
description |
For a learner with a readable criterion and a next move for each result, taught, test-based checks of their own work at set points during a task are expected to improve performance on it, but no claim here isolates self-monitoring against its absence on a learning outcome. |
status |
review |
canonical |
True |
generated |
by claude/unspecified on 2026-10-05 |
trust |
unverified — no one has confirmed this page's content |
sources |
4 — bol-2016, cho-2010, farrell-2008, ghanizadeh-2017 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.