Educator AI training and readiness remain limited, with only about half of teachers trained on AI and resistance increasing at higher grade levels¶
Claim · All claims
Evidence · 1 study (2 entries) · reviewr1·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2030: baselines and conditions change
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? As of fall 2024, only about half of teachers reported being trained on using AI, a two-fold increase from the previous year. → Digital Promise 2025
q2 i? Educator resistance to AI adoption increases at higher grade levels, with educators of older students expressing greater concerns. → Digital Promise 2025
q2 i? 88% of computer science teachers desire more support for teaching about and with AI, and less than half of middle and high school teachers and just over a third of elementary teachers feel equipped to teach about AI. → Digital Promise 2025 (2)
Evidence¶
Digital Promise 2025¶
Digital Promise. (2025). AI Literacy in PK-12 Education. https://digitalpromise.dspacedirect.org/items/19fd2afb-0811-4e48-90d9-0ad6c9887a1a doi:10.51388/20.500.12265/269
q2 · i? · review · r?
Survey data reported in the brief's educator-gaps section: "only about half of teachers reported having been trained on using AI", double the prior year, yet many lack foundational understanding and some perceive AI as increasing workload. The brief also notes resistance rises at higher grade levels.
"As of fall 2024, only about half of teachers reported having been trained on using AI"
Digital Promise 2025 (2)¶
Digital Promise. (2025). AI Literacy in PK-12 Education. https://digitalpromise.dspacedirect.org/items/19fd2afb-0811-4e48-90d9-0ad6c9887a1a
q2 · i? · review · r1
A recent survey cited in the learner-gaps section reports that "88% of computer science teachers desire more support", with under half of secondary and about a third of elementary teachers feeling equipped. Percentages are descriptive; no inferential statistics are printed.
"88% of computer science teachers desire more support for teaching about and with AI, but less than half of middle and high school teachers and just over a third of elementary school teachers feel equipped to teach about AI"
Discussion¶
Related Claims¶
- Partner-positioned teachers built students' AI literacy, while assistant and substitute teachers' transparency centered on gaming scores — related
- Barriers to situated learning fall into three categories: the traditional school system, the traditional educational approach, and teacher training and practice — related
- College leaders identify educator unfamiliarity with GenAI, lack of training infrastructure, and institutional unpreparedness as key challenges — related
- Fewer than 10% of teaching staff and students in surveyed Arab higher education institutions had received formal AI training — related
- Faculty adoption of GenAI is widespread but instructional confidence remains low, so adoption prevalence should not be misread as instructional readiness — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
limited-educator-ai-training-resistance-by-grade |
title |
Educator AI training and readiness remain limited, with only about half of teachers trained on AI and resistance increasing at higher grade levels |
description |
Educator AI training and readiness remain limited, with only about half of teachers trained on AI and resistance increasing at higher grade levels |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — digital-promise-2025, digital-promise-2025-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.