Claims

Three fidelity components—completing Apply It problems, following up on Time-Sensitive Interventions, and having Automated Messages on—differentiate classes with better-vs-poorer-than-expected grades.

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · 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? Students of instructors enacting all three key components had grades about 0.35 points higher than expected. → Barbara Means 2026

Evidence

Barbara Means 2026

Barbara Means, Julie Neisler, Daniel Parker, Vanessa Peters Hinton, and Emily Pressler. (2026). Lessons From Implementing Courseware in Gateway Statistics Courses. Digital Promise. https://digitalpromise.dspacedirect.org/items/12bb84f5-0073-40e6-85bb-41561222891b doi:10.51388/20.500.12265/292

q2 · i? · associational · r2

Comparison of implementation rates for individual fidelity elements between classes with positive vs. negative grade residuals. Three components showed "moderate-to-large differences"; consistent enactment of all three was associated with "grades about 0.35 points higher than expected."

"Students of instructors who consistently enacted all three of these key implementation components had course-level grades about 0.35 points higher than expected based on their prior achievement."

Discussion

Page metadata
Field Value
type claim
id three-key-fidelity-components-achievement
title Three fidelity components—completing Apply It problems, following up on Time-Sensitive Interventions, and having Automated Messages on—differentiate classes with better-vs-poorer-than-expected grades.
description Three fidelity components—completing Apply It problems, following up on Time-Sensitive Interventions, and having Automated Messages on—differentiate classes with better-vs-poorer-than-expected grades.
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — barbara-means-2026

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