kang_2024_ai_adoption
9,126 responses from 338 respondents to 27 items.
About this table
| Description | Generative AI adoption survey for K-12 CS teachers in China (338 teachers, 27 items, 5-point Likert) |
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| Licence | CC0 1.0 |
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| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8CE89H |
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Size and shape
| Responses | 9,126 |
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| Respondents | 338 |
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| Items | 27 |
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| Response categories | 5 |
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| Responses per respondent | 27 |
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| Responses per item | 338 |
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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) | chi |
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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("kang_2024_ai_adoption")
# Python
pip install irw
import irw
df = irw.fetch("kang_2024_ai_adoption")
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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