chowdhury2026_ai_literacy
384 responses from 32 respondents to 12 items.
About this table
| Description | Teacher AI Literacy scale, 1-5 Likert; N=32, 12 items, K-12/adult ML instructors |
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| Reference | Chowdhury, S., & Sain, N. (2026). Teacher AI Literacy for ML Learner Instruction. figshare. |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/Teacher_AI_Literacy_for_ML_Learner_Instruction/31427369 |
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Size and shape
| Responses | 384 |
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| Respondents | 32 |
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| Items | 12 |
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| Response categories | 5 |
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| Responses per respondent | 12 |
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| Responses per item | 32 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Workplace |
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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) | eng |
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Columns
cov_ai_policy_existscov_ml_percentcov_prior_ai_pdcov_rolecov_teaches_mlcov_years_teachingiditemresp
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("chowdhury2026_ai_literacy")
# Python
pip install irw
import irw
df = irw.fetch("chowdhury2026_ai_literacy")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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