Low-performing students (below the 50th pretest percentile) showed significant improvement with vPLC-augmented ASSISTments¶

Claim · All claims
Evidence · 1 study · causal r2 · q2 · i1 small
Currency · newest study 2025 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i1 Treatment students scoring below the 50th percentile on the pretest scored significantly higher than their VCG (214.38 versus 213.18, difference = 1.20, p = 0.020; ES = 0.10). → Huang 2025

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 · i1 · causal · r2

Subgroup analysis of the same QED using the partially nested model on the low-performing subsample (n = 1,626 per Table 3). The article reports "a significant improvement compared to the VCG" with difference = 1.20 and p = 0.020; Table 3 lists ES = 0.10 based on pooled SD.

"treatment students who scored below the 50th percentile on the pretest showed a significant improvement compared to the VCG (214.38 versus 213.18, difference = 1.20, p = 0.020)"

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
• Students with lower baseline performance (below the 50th percentile) showed significantly greater math achievement gains with ASSISTments than matched virtual peers — possibly the same claim (merge candidate)
• Achievement-quartile analysis shows the intervention was most effective for students in the 2nd quartile (25th–50th percentiles) of baseline achievement — related
• 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
• vPLC-augmented ASSISTments did not significantly improve overall middle school math achievement relative to a virtual comparison group — related
• Rural students overall did not show a significant effect, but low-performing rural students did — related
• Early trends suggest students of teachers using ASSISTments as the sole math edtech tool may have benefited more than students where it was part of a suite of tools — related
• Tutor-based practice produced greater learning gains than paper-based practice on matched problem sets — related
• Fourth-grade reading gains were concentrated among lower- and middle-performing students at the 10th, 25th, and 50th percentiles, whose 2007 scores exceeded all previous assessments — related
• Videos were especially beneficial for slower readers, with the largest studying-rate advantages at the lowest percentiles — related
• Across the full sample, students receiving the ASSISTments intervention performed comparably to their virtual comparison peers on end-of-year MAP Growth — related
• Rural students in the 2nd baseline achievement quartile significantly outperformed their comparison peers by 1.53 points — related
• Impacts varied across teachers: 40 of 59 teachers had a majority of their students outperform their virtual comparison counterparts — related