Teachers' digital competence is a critical factor influencing both AI tool adoption and its pedagogical effectiveness¶
Claim · All claims
Evidence · 1 study · reviewr?·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? Without adequate training and support, the potential benefits of AI technologies in education cannot be fully realized. → Gerasimos Kalogeratos 2026
Evidence¶
Gerasimos Kalogeratos 2026¶
Gerasimos Kalogeratos, Eleni Anastasopoulou, Triada Kapota. (2026). Educational Organizations in the AI Era: Digital Management and Leadership, Digital Skills, and Innovation. International Journal of Advanced Multidisciplinary Research and Studies. https://doi.org/10.62225/2583049X.2026.6.3.6209
q2 · i? · review · r?
The review's synthesis identifies teachers' digital competence as influencing both adoption of AI tools and their pedagogical effectiveness, with training and support presented as necessary conditions. No effect size is reported.
"At the same time, teachers’ digital competence emerges as a critical factor, influencing not only the adoption of AI tools but also their pedagogical effectiveness. Without adequate training and support, the potential benefits of AI technologies cannot be fully realized."
Discussion¶
Related Claims¶
- Teachers' expectancy beliefs about successfully using AI applications shape their motivation to use them (theoretical argument). — the general claim this finding bears on, with the studies behind it
- AI integration is associated with improvements in teaching, learning, and administrative efficiency in higher education when supported by adequate infrastructure — related
- Teacher characteristics from the will-skill-tool model — data literacy, availability of data technologies, and positive beliefs — predict teachers' pedagogical use of digital data, with data literacy the strongest predictor — related
- Three factors influenced adoption of the SST agenda tool: lack of guided practice, inconsistent routines, and value not visible to teachers — related
- School-related factors influence teachers' digital data use only indirectly, mediated by teacher will-skill-tool characteristics, in a model explaining 50% of variance — related
- About half of teachers report access to data technologies, but roughly half lack confidence in their data skills and do not use digital data to plan and adjust teaching — related
- A teacher-initiated report card comment generator built in Solara saw immediate high adoption without formal rollout or training — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
teacher-digital-competence-critical-ai-adoption |
title |
Teachers' digital competence is a critical factor influencing both AI tool adoption and its pedagogical effectiveness |
description |
Teachers' digital competence is a critical factor influencing both AI tool adoption and its pedagogical effectiveness |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — gerasimos-kalogeratos-2026 |
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