Claims

In math, EL groups grew more than never-ELs during academic years but lost more during summers

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2022 · checked against its sources 2026-10-20 (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.

q2 i? During academic years the three EL groups tended to grow more in math than never-ELs, with always-ELs highest; in summers ever-ELs lost the least and always-ELs and dually-identified students lost the most. → Johnson 2022

Evidence

Johnson 2022

Johnson, A. (2022). Achievement and growth for English Learners. Educational Policy, 37(4), 1044–1069. https://doi.org/10.1177/08959048211049419

q2 · i? · associational · r2

Piecewise multilevel growth models (Model 2) estimated monthly learning rates for each group from MAP Growth scores, shown in Figure 3. The analysis found EL groups "tended to grow more during the year than never-ELs" in math, with summer loss patterns reversed by subgroup.

"In math, the three EL groups tended to grow more during the year than never-ELs, and always-ELs had the highest growth rates. In the summers, ever-ELs had the lowest math learning loss rates; always-ELs and dually-identified students had the highest."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id el-math-faster-year-growth-higher-summer-loss
title In math, EL groups grew more than never-ELs during academic years but lost more during summers
description In math, EL groups grew more than never-ELs during academic years but lost more during summers
status review
evidence_strength moderate
newest_evidence 2022
source_checked 2026-10-20
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — johnson-2022

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