EVER four-by-four EdTech evidence-quality evaluation matrix¶
Research Method · All research methods
Evidence · no claims cited
Description¶
Table 1 outlines the evidence base and evaluation approaches employed to test an EdTech product (rows: conceptual, qualitative, quantitative, validation) crossed with quality assurance aspects (columns: methodological quality, outcome strength/predictive value, generalizability, ethics and transparency), each cell marked for rating. The authors note criteria can differ by method type, e.g. methodological quality criteria for conceptual studies can differ from generalisability criteria in quantitative or qualitative studies.
Accounts¶
- EVER's Table 1 matrix of four evaluation approaches by four quality assurance aspects: Table 1 outlines the evidence base and evaluation approaches employed to test an EdTech product (rows: conceptual, qualitative, quantitative, validation) crossed with quality assurance aspects (columns: methodological quality, outcome strength/predictive value, generalizability, ethics and transparency), each cell marked for rating. The authors note criteria can differ by method type, e.g. methodological quality criteria for conceptual studies can differ from generalisability criteria in quantitative or qualitative studies. (Natalia Kucirkova et al. (2023))
Claims¶
Related Research Methods¶
Key Sources¶
- Natalia Kucirkova, Garvin Brod and Nadine Gaab. (2023). Applying the science of learning to EdTech evidence evaluations using the EdTech Evidence Evaluation Routine (EVER). npj Science of Learning. https://doi.org/10.1038/s41539-023-00186-7
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
ever-four-by-four-edtech-evidence-quality-evaluation-matrix |
title |
EVER four-by-four EdTech evidence-quality evaluation matrix |
description |
Table 1 outlines the evidence base and evaluation approaches employed to test an EdTech product (rows: conceptual, qualitative, quantitative, validation) crossed with quality assurance aspects (columns: methodological quality, outcome strength/predictive value, generalizability, ethics and transpare |
status |
review |
generated |
by process:settle-candidates on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
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