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¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
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.
q3 i? Almost 50% of teachers agreed they have access to technologies providing digital student data, while 47% disagreed they know how to improve teaching with digital data and almost 50% disagreed they use digital data to plan and adjust teaching. → 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
Weighted descriptive statistics from the survey (N = 2,247); mean digital data use was 2.76 (SD 1.39), data literacy 2.58 (1.26), tool availability 3.32 (1.32), and positive beliefs 3.38 (0.94) on 5-point scales. The authors interpret this as technologies being available while teachers are hesitant about skill and actual use.
"almost 50% of teachers agreed on having access to technologies that provide digital student data. However, 47% of teachers disagreed on knowing how to improve their teaching and student learning with digital data. Similarly, almost 50% of teachers disagreed with using digital student data from available platforms to plan and adjust their teaching"
Discussion¶
Related Claims¶
- 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
- Immediately after closure, New York charter students lacked adequate devices (44.4% on average) more often than adequate internet access (27.0%), while teachers were almost universally equipped — 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
- Teachers' digital competence is a critical factor influencing both AI tool adoption and its pedagogical effectiveness — related
- Most U.S. schools report teachers are not sufficiently trained to use technology, and half of teachers cite lack of training as a major obstacle — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
teachers-access-but-low-skill-and-use |
title |
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 |
description |
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 |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — michos-2025 |
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