Rural students overall did not show a significant effect, but low-performing rural students did¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q2 · i1 small
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? For rural students only, the difference was 0.65 points (p = 0.339, ES = 0.04), not statistically significant. → Huang 2025 q2 i1 For low-performing students in rural schools, the difference was 1.26 points (p = 0.049, ES = 0.11), statistically significant. → Huang 2025 (2)

Evidence¶

Huang 2025¶

Huang, C.-W., Feng, M., & Li, L. (2025). Applying a partially nested regression model to evaluate the impact of ASSISTments on middle school students' math achievement. WestEd. https://eric.ed.gov/?id=ED677665

q2 · i? · causal · r2

Subgroup analysis of rural students (n = 1,423 per Table 3) in the same QED. Table 3 reports Tx 225.53 versus VCG 224.88, Diff 0.65, SE 0.667, p = 0.339, ES = 0.04 — not significant at the .05 level.

"Similar results were found when the analysis considered only students in rural areas."

Huang 2025 (2)¶

Huang, C.-W., Feng, M., & Li, L. (2025). Applying a partially nested regression model to evaluate the impact of ASSISTments on middle school students' math achievement. WestEd. https://eric.ed.gov/?id=ED677665

q2 · i1 · causal · r2

Subgroup analysis of low-performing rural students (n = 733 per Table 3). The table reports adjusted means of 215.51 versus 214.26, Diff = 1.26, SE = 0.607, p = 0.049, ES = 0.11, a statistically significant difference at the .05 level.

"Posttest (low performing in rural) 215.51 214.26 1.26 0.607 0.049 0.11 733 12.964 733 9.217"

Discussion¶

Related Claims¶

• A small set of mathematics-only studies gives existence proof that teacher participation in a mathematics PLC can enhance student learning, but evidence is insufficient to link formal assessment results to PLC participation — the general claim this finding bears on, with the studies behind it
• The vPLC-augmented ASSISTments treatment sample comprised 59 teachers and 2,855 students in grades 6-8 from 36 public schools across 24 U.S. states, half in rural areas — related
• Low-performing students (below the 50th pretest percentile) showed significant improvement with vPLC-augmented ASSISTments — related
• vPLC-augmented ASSISTments did not significantly improve overall middle school math achievement relative to a virtual comparison group — a broader claim this one bears on
• eMINTS produces a statistically significant positive effect on state math measures (ES +0.15) in a 3-year rural Missouri study — related
• Students with lower baseline performance (below the 50th percentile) showed significantly greater math achievement gains with ASSISTments than matched virtual peers — related
• Rural students in the 2nd baseline achievement quartile significantly outperformed their comparison peers by 1.53 points — a narrower finding that bears on this claim