Strategies

Address infrastructure, accessibility, teacher preparedness, curriculum alignment, data governance, and institutional support when scaling AI-supported mathematics learning

Strategy · All strategies
Evidence · 2 claims (1 for, 1 mixed) · 2 studies (2 review), q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description

The review identifies implementation conditions shaping ITS effectiveness: "infrastructure, accessibility, teacher preparedness, curriculum alignment, data governance, and institutional support". Scaling requires attention to affordability, interoperability, technical support, and responsible data governance, because technical scalability does not equal equitable educational access. A platform may serve many users while remaining inaccessible to learners without devices, connectivity, electricity, digital literacy, or teacher assistance.

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Key Sources

Page metadata
Field Value
type strategy
id its-implementation-conditions-strategy
title Address infrastructure, accessibility, teacher preparedness, curriculum alignment, data governance, and institutional support when scaling AI-supported mathematics learning
description The review identifies implementation conditions shaping ITS effectiveness: "infrastructure, accessibility, teacher preparedness, curriculum alignment, data governance, and institutional support".
status review
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — ogunsakin-ib-2026

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