zeng_2026_gai_exploitation

1,035 responses from 207 respondents to 5 items.

About this table

DescriptionGAI-assisted learning: Exploitation Behavior subscale (5 items 7-pt Likert Strongly disagree-Strongly agree) N=207 Chinese university students/staff
ReferenceZeng Y, Kang J, Piaw CY (2026) Behavioral mechanisms and learning outcomes of University Students' GAI-assisted learning in human-AI collaboration. PLOS ONE.
DOI10.1371/journal.pone.0346696
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0346696.s001

Size and shape

Responses1,035
Respondents207
Items5
Response categories7
Responses per respondent5
Responses per item207
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Columns

cov_academic_fieldcov_gai_durationcov_identitycov_tool_chatgptcov_tool_deepseekcov_tool_doubaocov_tool_othercov_tool_wenxin_yiyaniditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_exploitation")
# Python
pip install irw

import irw
df = irw.fetch("zeng_2026_gai_exploitation")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0