Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? In a hierarchical multiple regression, pre-Lexile score accounted for 76 percent of current Lexile scores, Achieve3000 usage about 3.5 percent, and motivation to learn English roughly 1 percent (p < 0.01). → Luke 2017
Evidence¶
Luke 2017¶
Luke, Christina C.; Gibson, Sierra; Francisco, Aubrey T. (2017). Rapid Cycle Pilots: Using Edtech to Support English Learners. Digital Promise. https://digitalpromise.dspacedirect.org/items/383e02ba-587a-4192-be68-175543798661 doi:10.51388/20.500.12265/26
q2 · i? · design · r2
Hierarchical multiple regression on Cajon Valley data with current Lexile as dependent variable and pre-test Lexile, Achieve3000 usage, motivation to learn English, and student age as predictors, run in IBM SPSS. Percentages are variance shares as printed; no standardized effect size is reported.
"The final multiple regression model indicated that pre-Lexile score serves as a 76 percent indicator of students' current Lexile scores, while Achieve3000 usage accounts for about 3.5 percent and students' motivation to learn English predicts roughly 1 percent of students' current Lexile score (p < 0.01)"
Discussion¶
Related Claims¶
- EL students using Achieve3000 scored significantly higher on adjusted post-pilot Lexile scores than comparison students who did not use the tool — related
- General literacy achievement domain: one statistically significant positive effect and one indeterminate effect yield a potentially positive rating — related
- Student attitudes toward learning English and school declined slightly over both pilots, with the decline in believing school is a good place to learn statistically significant in both districts — related
- Hill and Lenard (2016): LevelSet Lexile effects were negative in spring 2014 and positive in spring 2015 — related
- Newcomer EL students using BrainPOP ESL showed no statistically significant Lexile growth, and results lacked a comparison group — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
achieve3000-usage-predicts-lexile-regression |
title |
Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age |
description |
Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age |
status |
review |
evidence_strength |
weak |
newest_evidence |
2017 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — luke-2017 |
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