Claims

ITS evaluation results depend strongly on test type: effects are large on locally developed tests (ES = 0.73) and small on standardized tests (ES = 0.13)

Claim · All claims
Evidence · 1 study (3 entries) · quant-synthesis r2–r3 · q2–q4
Currency · newest study 2016 · checked against its sources 2026-10-20 (automated, 3 of 3 entries) · 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 i? Test type was the study feature most strongly related to effect size: average ES was 0.73 for local tests, 0.13 for standardized tests, and 0.45 for both. → Kulik 2016 q3 i? Homogeneity analyses confirmed the pattern: average g was 0.62 on local tests, 0.09 on standardized tests, and 0.46 on both. → Kulik 2016 (2) q3 i? Within a single study of Practical Algebra Tutor, effects were larger on aligned local tests (mean ES = 0.99) than on standardized tests (mean ES = 0.36). → Kulik 2016 (3)

Evidence

Kulik 2016

Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review. Review of Educational Research. https://doi.org/10.3102/0034654315581420

q4 · i? · quant-synthesis · r3

Univariate ANOVAs on the Winsorized data set (Glass's ES, study as unit) identified test type as the strongest moderator of ITS effects across the 50 evaluations. Local, standardized, and combined test categories averaged 0.73, 0.13, and 0.45 respectively.

"ESs are large in evaluations that used local tests as outcome measures (average ES = 0.73), small in evaluations that used standardized tests (average ES = 0.13), and intermediate in evaluations that used a combination of the two (average ES = 0.45)."

Kulik 2016 (2)

Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review. Review of Educational Research. https://doi.org/10.3102/0034654315581420

q4 · i? · quant-synthesis · r3

Supplementary Hedges's-g homogeneity analysis of the Winsorized data set confirmed test type as the strongest moderator, with average g of "0.62 when outcomes were measured on local tests, 0.09 when they were measured on standardized tests, and 0.46 when they were measured on both."

"average g was 0.62 when outcomes were measured on local tests, 0.09 when they were measured on standardized tests, and 0.46 when they were measured on both."

Kulik 2016 (3)

Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review. Review of Educational Research. https://doi.org/10.3102/0034654315581420

q2 · i? · quant-synthesis · r2

The review attributes this within-study pattern to Koedinger et al. (1997), who evaluated the Practical Algebra Tutor on locally developed problem-solving tests and standardized multiple-choice tests; the review reports, citing that study, that local-test effects were larger. The review reports it second-hand (q 2).

"The researchers found large effects on the locally developed tests (mean ES = 0.99) and smaller effects on the standardized ones (mean ES = 0.36)."

Studies bearing on this claim

Does the kind of outcome measure (a researcher-made or aligned test against a standardized one) change the size of the effect a study reports? This table gathers the studies behind this claim and the 4 narrower claims that bear on it: 5 distinct studies (3 quant-synthesis, 2 review), q2–q4, 1 of 5 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
Kulik 2016 q2 / q4 · quant-synthesis · r3 i? this claim
Sarah Herrera 2021 q3 · quant-synthesis · r2 i2; i?; i1 Language and early writing interventions showed larger effects on researcher-developed tha (qualifies)
Dawit T. Tiruneh 2014 q2 · review · r3 i? The type of CT measure employed (standardized vs. non-standardized; item format) influence (supports)
What Works Clearinghouse 2006 q2 · review · r? i? Training effects were larger on outcome measures aligned with the trained skill (blending, (supports)
Victoria F. Sisk 2018 q3 · quant-synthesis · r3 i? Type of achievement measure moderates the correlation only when laboratory measures are ex (supports)

Discussion

Page metadata
Field Value
type claim
id test-type-moderates-its-effects
title ITS evaluation results depend strongly on test type: effects are large on locally developed tests (ES = 0.73) and small on standardized tests (ES = 0.13)
description ITS evaluation results depend strongly on test type: effects are large on locally developed tests (ES = 0.73) and small on standardized tests (ES = 0.13)
status review
evidence_strength strong
newest_evidence 2016
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-10-13
trust unverified — no one has confirmed this page's content
sources 3 — kulik-2016, kulik-2016-2, kulik-2016-3

Frontmatter is the page's machine-readable record — see the Schema & Guide.