Using at least one feature raised students' multiple choice question attempt rate to 89 percent and eliminated the drop on hard assignments, with a significant feature-use × difficulty interaction¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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the rigour judged within that kind: what each code means.
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q2 i? Students attempted questions 78 percent of the time on average, dipping to 68 percent on hard assignments, but attempted 89 percent of the time when using at least one feature, staying at that level even on difficult articles. → Tare 2019
Evidence¶
Tare 2019¶
Tare, M. & Shell, A. R. (2019). Designing for learner variability: Examining the impact of research-based edtech in the classroom. Washington, DC: Digital Promise Global. https://digitalpromise.dspacedirect.org/items/82839c44-adb1-400c-b422-9bfbbca65985 doi:10.51388/20.500.12265/81
q2 · i? · associational · r2
Engagement analysis of district log data using rate of attempting multiple choice comprehension questions as the engagement measure, shown by assignment difficulty and feature use (Figure 6). Feature use was associated with a higher attempt rate that held even for hard assignments.
"On average, students attempted the questions 78 percent of the time, dipping down to 68 percent when an assignment was hard for a student (as measured by the gap between student and article Lexile levels). We found that when students used at least one feature, their rate of multiple choice question attempts went up to 89 percent, and strikingly, stayed at this 89 percent level, even when attempting difficult articles"
Discussion¶
Related Claims¶
- Feature use related to a slight increase in multiple choice accuracy, larger for lower-Lexile students and for easier articles — related
- Teachers who tried ReadWorks features reported high intent to assign more and higher-level articles (89% and 82%) — related
- In the district study, teachers assigned articles above students' STAR Lexile levels (about 375 points higher on average), and greater STAR growth related to completing more, harder, and more accurate ReadWorks assignments — related
- Feature use was widespread across student groups (92% of students used at least one feature; 75% of assignments included feature use), with no differences by STAR score, special education status, or income, but substantial variation across teachers — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
readworks-feature-use-engagement-attempts |
title |
Using at least one feature raised students' multiple choice question attempt rate to 89 percent and eliminated the drop on hard assignments, with a significant feature-use × difficulty interaction |
description |
Using at least one feature raised students' multiple choice question attempt rate to 89 percent and eliminated the drop on hard assignments, with a significant feature-use × difficulty interaction |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2019 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tare-2019 |
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