Strategy Instruction Needs Conditional Knowledge¶
Claim · All claims
Evidence · 2 studies · 1 causalr?, 1 theoreticalr?·q1–q2
Currency · newest study 1987 · not yet checked against its sources · not reviewed by a person
Teaching learners when and why to use a strategy — not just how — is required for strategy use to transfer beyond the training context. Conditional knowledge is what allows learners to select and adapt strategies independently rather than executing a memorized procedure on near tasks only.
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Elementary teachers trained to explain the reasoning behind when and why to use reading strategies produced students who were more strategically aware and scored better on reading achievement measures than students of control teachers, directly testing the conditional-knowledge component of strategy instruction. → Duffy et al. 1987
q1 i? Conditional knowledge — knowing when, why, and for what payoff a strategy applies — is proposed as a component of strategic reading distinct from declarative (what) and procedural (how) knowledge, and necessary for self-regulated, flexible strategy use. → Paris et al. 1983
Evidence¶
Duffy et al. 1987¶
Duffy, G. G., Roehler, L. R., Sivan, E., Rackliffe, G., Book, C., Meloth, M. S., Vavrus, L. G., Wesselman, R., Putnam, J., & Bassiri, D. (1987). Effects of explaining the reasoning associated with using reading strategies. Reading Research Quarterly, 22(3), 347. doi:10.2307/747973
q2 · quasi-experiment (teachers assigned to trained vs. control condition; abstract does not specify randomization) · i? · no effect size reported · n=unreported (abstract does not give sample size) · causal · r?
Elementary reading teachers were trained to make explicit decisions about when and how to explain the mental reasoning behind using reading skills as strategies, and their students were compared with students of untrained control teachers. Low-reading-ability students of the trained teachers became more aware of lesson content and of the need to be strategic while reading, and scored better on several measures of reading achievement than students of control teachers. Only the publisher's/ERIC abstract was available (see provenance); the finding is reported as a comparison of outcomes, with no effect size or sample size given in that text.
Paris et al. 1983¶
Paris, S. G., Lipson, M. Y., & Wixson, K. K. (1983). Becoming a strategic reader. Contemporary Educational Psychology, 8(3), 293-316. doi:10.1016/0361-476X(83)90018-8
q1 · theoretical argument (classified by ERIC as an Opinion Paper, not an empirical study) · i? · not applicable — conceptual paper, no effect size · n=N/A · theoretical · r?
This is the source paper that introduces conditional knowledge as one of three components of strategic reading, alongside declarative knowledge (what a strategy is) and procedural knowledge (how to execute it), arguing that knowing when and why to apply a strategy is what lets a reader use it flexibly and adapt it across tasks rather than only on trained materials. It is a theoretical/synthesis paper — no full text or abstract text beyond ERIC's own descriptive summary could be retrieved (see provenance) — so it is cited here as the conceptual source of the conditional-knowledge construct rather than as an empirical test of it.
Studies bearing on this claim¶
Does teaching when and why to use a procedure, not only its steps, improve flexible use and understanding? This table gathers the studies behind this claim and the 3 narrower claims that bear on it: 7 distinct studies (3 causal, 2 theoretical, 1 quant-synthesis, 1 review), q1–q4, 1 of 7 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.
| Study | Design | Effect as recorded | Bears on this claim through |
|---|---|---|---|
| Duffy et al. 1987 | q2 · causal · r? | i? | this claim |
| Paris et al. 1983 | q1 · theoretical · r? | i? | this claim |
| Alfieri et al. 2013 | q4 · quant-synthesis · r? | i2 · medium effect, d=0.50, 95% CI [.44, .56] | Comparing cases side by side improves learning and transfer by a moderate average amount, (qualifies) |
| Gentner et al. 2003 | q3 · causal · r? | i? | Comparing cases side by side improves learning and transfer by a moderate average amount, (qualifies) |
| Rittle-Johnson & Star 2007 | q3 · causal · r? | i? | Comparing cases side by side improves learning and transfer by a moderate average amount, (qualifies) |
| Burgos 2021 | q1 · theoretical · r2 | i? | Students can apply procedural knowledge to solve integration problems but show limited und (supports) |
| Star 2015 | q2 · review · r3 | i? | Alternative-strategy practices are most effective for improving procedural flexibility, wi (supports) |
Discussion¶
Declarative vs. conditional knowledge. Strategy instruction that stops at procedural steps ("first do X, then do Y") produces execution of the strategy on near tasks but poor maintenance and transfer. Conditional knowledge — knowing under which task conditions, for which goals, and with what expected payoff a strategy applies — is what allows learners to select and adapt strategies independently. This is a core component of self-regulated learning, where strategy use is coupled to monitoring and conditional decision-making.
Design implication. Effective strategy programs pair modeling of the strategy with explicit discussion of its conditions of applicability, and prompt learners to evaluate strategy–task fit during practice. Without this pairing, learners may acquire the procedure yet fail to deploy it when the task changes — a pattern consistent with the broader finding that activation of relevant knowledge and explicit advance organizers support appropriate strategy selection [+M]. Programs that embed conditional knowledge in modeling — for example, reciprocal teaching's explicit linkage of summarizing, questioning, clarifying, and predicting to the demands of the text segment at hand — illustrate the pairing of procedure with conditions of use [+M].
Constraints on the claim. Explicit conditional instruction is not uniformly beneficial: for novices, extended discussion of when-and-why can add extraneous load before the procedure itself is fluent, diluting limited working-memory resources in line with cognitive load theory [-M]. Conversely, for advanced learners, conditional knowledge they have already induced from experience can become redundant, and re-teaching it yields little gain [~M] — an instance of the expertise reversal effect. The claim therefore applies most cleanly to learners who have at least procedural fluency in the strategy but have not yet induced its conditions of applicability.
Open questions. The evidence recorded above is one quasi-experiment and the theoretical paper that introduced the distinction, both read as abstracts. Open issues include how much conditional knowledge can be inferred from practice versus needing explicit instruction, whether conditional knowledge benefits are moderated by learner expertise, and how durable conditional knowledge is relative to procedural knowledge of the strategy itself.
Related Claims¶
-
Strategy Instruction Improves Academic Performance — the general claim this finding bears on, with the studies behind it
-
Activation improves learning. — activating relevant prior knowledge helps learners judge when a strategy applies
- Advance organizers improve learning. — organizers can frame the conditions under which strategies are useful
- Annotating improves learning. — a strategy whose value depends on task conditions, illustrating the conditional-knowledge requirement
- Self-regulated learning — the theoretical framework in which conditional knowledge drives strategy selection and adaptation
- Expertise reversal effect — explains why conditional instruction can be redundant for advanced learners
- Cognitive load theory — explains why heavy conditional discussion can overload novices before procedural fluency
- Strategy Instruction Improves Learning — a broader claim this one bears on
- Self-regulated learning improves achievement — related
- Self Regulated Learning Predicts Achievement — related
- McKenney et al.'s ecological framework emphasizes knowing but not applying design knowledge — related
- High-gain teacher's high-change students received full explicit domain instruction on how and why readers set purposes, unlike the typical teacher's students — a narrower finding that bears on this claim
- Students rate their knowledge about cognition higher than their regulation of cognition — related
- Whether strategy instruction works better in authentic content-area tasks is untested, and the one meta-analytic comparison recorded found larger gains in strategic ability in language-arts than in content-area classes — related
- Explicit transfer instructions, in which trainees discuss how trained strategies could apply to a new task, produced reliable transfer of imagery and sentence-generation training to unpracticed text learning in older adults — a narrower finding that bears on this claim
- Procedural and strategic supports during reading tended to positively affect comprehension compared to no-treatment controls, with exceptions when compared against mobilization — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
strategy-instruction-needs-conditional-knowledge |
title |
Strategy Instruction Needs Conditional Knowledge |
status |
review |
evidence_strength |
pending |
newest_evidence |
1987 |
generated |
by claude/unspecified on 2026-09-25 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — duffy-et-al-1987, paris-et-al-1983 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.