Teaching experience is a minor negative predictor of digital data use, while age and gender show no significant effect¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2025 · 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.
q3 i? Years of teaching experience had a small significant negative effect on digital data use (B = –0.09, p < 0.001). → Michos 2025
q3 i? Age and gender did not significantly affect digital data use. → Michos 2025
Evidence¶
Michos 2025¶
Michos, K., Schmitz, M.-L., & Petko, D. (2025). Learning Analytics in Schools: Is Digital Data Use Influenced by Teacher-Level or School-Level Factors? Journal of Learning Analytics, 12(3), 87–101. https://doi.org/10.18608/jla.2025.8567
q3 · i? · associational · r2
From the same multilevel regression model (Model 1, N = 2,225 after exclusions, 112 school clusters). The authors suggest less experienced teachers may be more comfortable adopting new digital practices, while more experienced teachers may be hesitant due to established practices.
"Other teacher characteristics, such as age and gender, did not significantly affect the use of digital data, but years of teaching experience had a minor negative impact (B = –0.09, p < 0.001)"
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- 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
- Demographic variables (gender, year of study, fields of study, age) have trivial effects on prospective teachers' conception values and practices — 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
- Demographic and contextual variables meaningfully differentiate the four GenAI adoption personas — related
- General AI literacy is not significantly related to in-service science educators' AI use or to their age, gender, or years of service — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
experience-negative-age-gender-null-data-use |
title |
Teaching experience is a minor negative predictor of digital data use, while age and gender show no significant effect |
description |
Teaching experience is a minor negative predictor of digital data use, while age and gender show no significant effect |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — michos-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.