skalka2025_ai_literacy
60,250 responses from 1,205 respondents to 50 items.
About this table
| Description | AI Literacy Questionnaire (50 items, 10 subscales); Polish university students; 3 cohorts 2022-2024; N=1205; 0-5 ordinal |
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| Reference | Skalka, J., & Przybyła-Kasperek, M. (2025). AI Literacy Questionnaire data [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.29488523.v2 |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/AI_Literacy_Questionnaire_data/29488523 |
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Size and shape
| Responses | 60,250 |
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| Respondents | 1,205 |
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| Items | 50 |
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| Response categories | 6 |
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| Responses per respondent | 50 |
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| Responses per item | 1,205 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | pol |
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Columns
cov_agecov_countrycov_gendercov_gradecov_yeariditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("skalka2025_ai_literacy")
# Python
pip install irw
import irw
df = irw.fetch("skalka2025_ai_literacy")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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