Teachers' low digital competence and lack of AI training frameworks are key barriers to GAI integration in K-12¶
Claim · All claims
Evidence · 1 study · reviewr2·q1
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.
q1 i? The review reports that teachers' digital competence is very low and that the literature lacks clear frameworks on how AI should be taught, making continuous teacher training a critical need. → Marzano 2025
Evidence¶
Marzano 2025¶
Marzano, D. (2025). Generative Artificial Intelligence (GAI) in Teaching and Learning Processes at the K-12 Level: A Systematic Review. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09853-7
q1 · i? · review · r2
Narrative review section attributing this finding to Alferez-Pastor (2023): teachers "believe they have some knowledge of ICT but do not know how to use them properly". The review also cites a lack of clear frameworks on how AI should be taught (Ng et al.; Su et al.; Van Brummelen et al.).
"However, the level of digital competence is very low among teachers, who believe they have some knowledge of ICT but do not know how to use them properly"
Discussion¶
Related Claims¶
- In the retrieved corpus of digitally supported teacher education research, competence and ICT-integration frameworks are the most frequent primary strategy (46.5%) — related
- College leaders identify educator unfamiliarity with GenAI, lack of training infrastructure, and institutional unpreparedness as key challenges — related
- Infrastructure, connectivity or limited access is the most frequent barrier (45.2%) to digitally supported teacher education — 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
- Digital competence development is the most frequently reported advantage (76.1%) of digitally supported teacher education strategies — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
teacher-digital-competence-barrier-gai-k12 |
title |
Teachers' low digital competence and lack of AI training frameworks are key barriers to GAI integration in K-12 |
description |
Teachers' low digital competence and lack of AI training frameworks are key barriers to GAI integration in K-12 |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — marzano-2025 |
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