Claims

Guidance during inquiry learning improves post-inquiry learning outcomes (d = 0.50)

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q4 · i2 medium
Currency · newest study 2016 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person

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.

q4 i2 Across the synthesized studies, guidance had a facilitative overall effect on learning outcomes, d = 0.50, 95% CI [0.37, 0.62]. → Lazonder 2016

q2 i2 The review reports, citing D'Angelo et al. (2014), that supplementing a simulation with learner guidance had a modest effect on learning outcomes (d = 0.49) and inquiry skills (d = 0.41), independent of guidance type. → Lazonder 2016

Evidence

Lazonder 2016

Lazonder, A. W., & Harmsen, R. (2016). Meta-analysis of inquiry-based learning: Effects of guidance. Review of Educational Research, 86(3), 681-718. https://doi.org/10.3102/0034654315627366

q4 · i2 · quant-synthesis · r3

Random-effects meta-analysis of studies assessing learning outcomes, measured through "posttests, criterion tasks, interviews, or questionnaires" administered immediately or shortly after learning; effect sizes were based on gain scores where possible. The summary effect was d = 0.50.

"Results showed facilitative overall effects of guidance on learning activities (d = 0.66, 95% CI [0.44, 0.88]), performance success (d = 0.71, 95% CI [0.52, 0.90]), and learning outcomes (d = 0.50, 95% CI [0.37, 0.62])."

Studies bearing on this claim

How much guidance should learners get while they explore a simulation, and does the answer change with what they already know? This table gathers the studies behind this claim and the 5 narrower claims that bear on it: 13 distinct studies (4 quant-synthesis, 4 review, 2 causal, 2 qualitative, 1 theoretical), q1–q4, 3 of 13 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
Lazonder 2016 q4 · quant-synthesis · r3 i2 this claim
Alfieri et al. 2011 q4 · quant-synthesis · r? i1 · small effect, d=0.38 favouring explicit instruction over unassisted discovery Minimal guidance is less effective for novices than explicit instruction (supports)
Klahr & Nigam 2004 q3 · causal · r? i? Minimal guidance is less effective for novices than explicit instruction (supports)
Kirschner et al. 2006 q2 · review · r? i? Minimal guidance is less effective for novices than explicit instruction (supports)
Furtak et al. 2012 q4 · quant-synthesis · r? i2 · the .40 is a difference between study groups: studies with teacher-led activities had mean effect sizes about .40 larger than studies with student-led conditions (abstract); the overall inquiry effect was .50 Teacher Guided Inquiry Outperforms Student Led (supports)
Minner et al. 2010 q3 · quant-synthesis · r? i? Teacher Guided Inquiry Outperforms Student Led (supports)
Kalyuga et al. 2003 q2 · review · r2 i? Instructional guidance that helps novices can become redundant or counterproductive as exp (qualifies)
Kalyuga et al. 1998 q3 · causal · r? i? Instructional guidance that helps novices can become redundant or counterproductive as exp (qualifies)
Obikwelu 2013 q1 · theoretical · r2 i? Instructional guidance that helps novices can become redundant or counterproductive as exp (qualifies)
Slava Kalyuga 2010 q2 · review · r2 i? Instructional guidance that helps novices can become redundant or counterproductive as exp (qualifies)
Leonard Tetzlaff 2021 q2 · review · r2 i? Instructional guidance that helps novices can become redundant or counterproductive as exp (qualifies)
Podolefsky 2013 q2 · qualitative · r2 i? A student began interacting with the sim within 10 seconds and verbalized sense-making wit (qualifies)
Tao 1997 q2 · qualitative · r2 i? Computer-supported collaborative learning with simulation programs fostered conceptual cha (qualifies)

Discussion

- Teacher Guided Inquiry Outperforms Student Led — the general claim this finding bears on, with the studies behind it

Page metadata
Field Value
type claim
id guidance-improves-inquiry-learning-outcomes
aliases simulation-guidance-moderate-effect-dangelo
title Guidance during inquiry learning improves post-inquiry learning outcomes (d = 0.50)
description Guidance during inquiry learning improves post-inquiry learning outcomes (d = 0.50)
status review
evidence_strength moderate
newest_evidence 2016
source_checked 2026-10-16
generated by process:wiki-ingest on 2026-10-13
trust unverified — no one has confirmed this page's content
sources 1 — lazonder-2016

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