AI training for pre-service primary teachers is predominantly short-term interventions embedded within existing courses rather than standalone AI courses¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: 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? Across 11 included studies, 9 used single-session or short interventions embedded in existing courses and only 2 used five- to eight-week modules, with AI incorporated into existing teacher training courses rather than dedicated courses. → Pinto F 2026
Evidence¶
Pinto F 2026¶
Pinto F, Rodrigues RN, Brito-Costa S, Costa C, Gonçalves S, Pires NA and Martins F (2026) Artificial intelligence in initial teacher training for pre-service primary school teachers in mathematics: a systematic review. Front. Educ. 11:1934366. https://doi.org/10.3389/feduc.2026.1934366
q2 · i? · review · r2
Systematic review synthesis of 11 studies answering research question 1 on training types. The review reports the two-category typology with study counts, noting the first typology "was clearly predominant" and that AI is incorporated into existing courses rather than standalone training.
"the training implemented with Pre-Service Primary School Teachers in the field of AI can be classified into two distinct categories: (a) single-session or short interventions consisting of a small number of sessions embedded within existing courses (9 studies); (b) five- to eight-week modules integrated into existing courses (2 studies)."
Discussion¶
Related Claims¶
- Methodological scope of existing research is limited: small samples, single courses, and short-term interventions — a broader claim this one bears on
- Participation in the short INSIGHT training session is associated with a significant pre-post increase in teachers’ perceived ease of use of AI-based technologies — related
- AI-SRL research predominantly focuses on higher education students, with minimal attention to primary education and educators — related
- Monitoring of AI training relies primarily on records of interactions with AI tools, while attitudes and perceptions are mostly assessed at a single point in time — related
- Reflective strategies such as cognitive forcing, pre-commitment, and uncertainty communication reduce overreliance on AI and improve decision quality, but have been evaluated only as short-term single-session interventions — related
- Integrated instructional hours correlate more positively with technology integration ability than stand-alone technology courses — a broader claim this one bears on
- The IPS evidence base predominantly addresses information search and selection, with library and ecological-validity biases limiting generalizability to broader IPS competence — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-training-short-term-embedded-existing-courses |
title |
AI training for pre-service primary teachers is predominantly short-term interventions embedded within existing courses rather than standalone AI courses |
description |
AI training for pre-service primary teachers is predominantly short-term interventions embedded within existing courses rather than standalone AI courses |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — pinto-f-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.