Item Response Warehouse / Tables / zeng_2026_gai_learning_effectzeng_2026_gai_learning_effect
1,035 responses from 207 respondents to 5 items.
About this table
Description GAI-assisted learning: Learning Effect (outcome) subscale (5 items 7-pt Likert Strongly disagree-Strongly agree) N=207 Chinese university students/staff Reference Zeng Y, Kang J, Piaw CY (2026) Behavioral mechanisms and learning outcomes of University Students' GAI-assisted learning in human-AI collaboration. PLOS ONE. DOI 10.1371/journal.pone.0346696 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0346696.s001
Size and shape
Responses 1,035 Respondents 207 Items 5 Response categories 7 Responses per respondent 5 Responses per item 207 Density 1 Longitudinal FALSE
Classification
sample Educational, Internet-based measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Columns
cov_academic_field cov_gai_duration cov_identity cov_tool_chatgpt cov_tool_deepseek cov_tool_doubao cov_tool_other cov_tool_wenxin_yiyan id item resp
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("zeng_2026_gai_learning_effect")
# Python
pip install irw
import irw
df = irw.fetch("zeng_2026_gai_learning_effect")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_3 v7.0.