1,410 responses from 235 respondents to 6 items.
One of 6 tables from the same source; this one measures Frequency of uses of artificial intelligence. The others are listed under Related tables.
| Description | Frequency of six uses of AI (information search, summarising, writing, media creation, data analysis, coding), 0-4 (never-several times a day), Spanish undergraduates in education and social studies (University of Almeria; N up to 235); cov_female, cov_age_band, cov_degree, cov_social_class, cov_ideology. |
|---|---|
| Reference | Fernandez-Prados, J. S., & Lozano Diaz, A. (2025). Actitudes hacia la Inteligencia Artificial, Ansiedad Digital y Competencias Digitales entre estudiantes universitarios [Data set]. Mendeley Data, V3. https://doi.org/10.17632/2gwnjx729x.3 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/2gwnjx729x/3 |
| Responses | 1,410 |
|---|---|
| Respondents | 235 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 235 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Frequency of uses of artificial intelligence |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Uso de la IA |
|---|---|
| Mean words per item | 4.500 |
| Mean characters per item | 31.667 |
| Mean characters per response | 27.600 |
| Flesch-Kincaid grade level | 10.639 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fernandez_prados_2025_ai_attitudes.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age_band | Covariate | EDAD |
cov_degree | Covariate | Sestudios |
cov_female | Covariate | Ssexo |
cov_ideology | Covariate | Sideologia_SQ001 |
cov_social_class | Covariate | Sclasesocial_SQ001 |
What item codes and covariate values stand for is in the source’s codebook, file_downloaded.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fernandez_prados_2025_ai_uses")
# Python
pip install irw
import irw
df = irw.fetch("fernandez_prados_2025_ai_uses")
@misc{https://doi.org/10.17632/2gwnjx729x.3,
doi = {10.17632/2GWNJX729X.3},
url = {https://data.mendeley.com/datasets/2gwnjx729x/3},
author = {Fernández-Prados, Juan Sebastián and Lozano Díaz, Antonia},
keywords = {Artificial Intelligence, Higher Education, Knowledge, Attitudes and Practices Survey},
title = {Actitudes hacia la Inteligencia Artificial, Ansiedad Digital y Competencias Digitales entre estudiantes universitarios},
publisher = {Mendeley Data},
year = {2025}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |