Students' ELA growth over the four years followed a logarithmic pattern, selected over a quadratic model by AIC¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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q3 i? A logarithmic growth model fit students' ELA performance better (AIC = 966.25) than a quadratic model (AIC = 967.41), with a significant positive log-time coefficient. → Yue Huang 2024
Evidence¶
Yue Huang 2024¶
Yue Huang, Joshua Wilson, & Henry May. (2024). Exploring the Long-Term Effects of the Statewide Implementation of an Automated Writing Evaluation System on Students' State Test ELA Performance. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00443-9
q3 · i? · causal · r2
Model comparison of two SIPTW-adjusted initial growth models for 134,425 students' repeated SAGE ELA scores with cluster-robust standard errors. The log-time coefficient was 33.46 (p < 0.001) in the initial model comparison table.
"The model with the logarithmic term demonstrated a smaller AIC of 966.25, compared to the AIC of 967.41 for the model with the quadratic term."
Discussion¶
Related Claims¶
- In a prospective longitudinal sample (ECLS-K:2011), numbers reversed performance follows a logarithmic growth pattern, decelerating over ages 6–11 — related
- Growth models show substantial variability in the shape and rate of learning, but no statistically significant EAPGS associations with that variation — related
- Quadratic latent growth fits MAP longitudinal achievement data better than linear growth across ten states — related
- One year of Utah Compose exposure raised students' SAGE ELA scale scores by 9.14 points (ES = 0.12) versus no exposure — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ela-growth-logarithmic-pattern-utah-cohorts |
title |
Students' ELA growth over the four years followed a logarithmic pattern, selected over a quadratic model by AIC |
description |
Students' ELA growth over the four years followed a logarithmic pattern, selected over a quadratic model by AIC |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — yue-huang-2024 |
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