Open CC-BY 4.0 dataset of digital self-efficacy responses (N=243) on Zenodo¶
Product or Programme · All products and programmes
Evidence · 5 claims (5 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 5 claims rest on one study
Description¶
A fully anonymized dataset of demographic variables and Likert-scale digital self-efficacy responses from 243 secondary students, released with a comprehensive codebook by Nicolas Rodriguez-Alvarez et al. through Zenodo under a CC-BY 4.0 license.
Components¶
Claims¶
- AI Paradox: students report higher confidence in critical AI awareness than in operational AI usage (p = 0.015) [+W]
- Male students report significantly higher overall technological self-efficacy than female students (p = 0.001) [+W]
- Secondary students report near-maximum confidence in passive digital tasks but sharply lower confidence in active creation and algorithmic logic [+W]
- Technology-pathway students report higher active-creation self-efficacy than Arts and Humanities students (p < 0.001) [+W]
- The technological gender gap emerges only within Technology-oriented pathways, with parity in Arts and Sciences [+W]
Related Products and Programmes¶
-
Key Sources¶
- Nicolas Rodriguez-Alvarez, Alan Martin Blanch-Marsolini, Samuel Vara-Gutierrez, Hugo Gil-Garcia, Javier Calzon-Dueñas, and Fernando Rodriguez-Merino. (2026). The Illusion of Competence: Self-Perceived Digital Literacy and AI Readiness Among European Secondary Students. arXiv. https://arxiv.org/abs/2605.26010
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
open-cc-by-40-dataset-of-digital-self-efficacy-responses-n243-on-zenodo |
title |
Open CC-BY 4.0 dataset of digital self-efficacy responses (N=243) on Zenodo |
description |
A fully anonymized dataset of demographic variables and Likert-scale digital self-efficacy responses from 243 secondary students, released with a comprehensive codebook by Nicolas Rodriguez-Alvarez et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.