1,002 responses from 334 respondents to 3 items.
One of 3 tables from the same source; this one measures Technology-supported adaptation and inclusion (3 items). The others are listed under Related tables.
| Description | 3 adaptation-and-inclusion items (1-5); N = 334 Ecuadorian teachers; cov_region, cov_zone, cov_gender, cov_education, cov_years_experience, cov_teaching_level. |
|---|---|
| Reference | Guerrero-Zambrano, M., Castro-Castillo, G. J., & Delgado Santillan, D. A. (2026). Base de datos desidentificada sobre uso pedagogico de inteligencia artificial, gestion de datos educativos y adaptacion e inclusion en docentes [data]. figshare. https://doi.org/10.6084/m9.figshare.33187878.v2 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/_/33187878 |
| Responses | 1,002 |
|---|---|
| Respondents | 334 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 3 |
| Responses per item | 334 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Technology-supported adaptation and inclusion (3 items) |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_education | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_region | Covariate | not traced |
cov_teaching_level | Covariate | not traced |
cov_years_experience | Covariate | not traced |
cov_zone | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
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("guerrero_zambrano_2026_adaptation")
# Python
pip install irw
import irw
df = irw.fetch("guerrero_zambrano_2026_adaptation")
@misc{https://doi.org/10.6084/m9.figshare.33187878.v2,
doi = {10.6084/M9.FIGSHARE.33187878.V2},
url = {https://figshare.com/articles/dataset/Base_de_datos_desidentificada_sobre_uso_pedag_gico_de_inteligencia_artificial_gesti_n_de_datos_educativos_y_adaptaci_n_e_inclusi_n_en_docentes/33187878/2},
author = {Guerrero-Zambrano, Marcos and Castro-Castillo, Graciela Josefina and Delgado Santillán, David Antonio},
keywords = {Teacher education and professional development of educators, Inclusive education, Educational technology and computing},
title = {Base de datos desidentificada sobre uso pedagógico de inteligencia artificial, gestión de datos educativos y adaptación e inclusión en docentes},
publisher = {figshare},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |