karsen_2025_mooc_motivation

24,156 responses from 396 respondents to 61 items.

About this table

DescriptionMOOC motivation questionnaire, 61 items in eleven prefix blocks (SE, SJ, SD, SI, MC, GA, GS, CC, IM, EM, MCO), 1-5; N = 396 Indonesian MOOC participants.
ReferenceKarsen, M. (2025). MOOC Motivation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17023586
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/17023586

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses24,156
Respondents396
Items61
Response categories5
Responses per respondent61
Responses per item396
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind
construct nameMOOC motivation

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, karsen_2025_mooc_motivation.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("karsen_2025_mooc_motivation")
# Python
pip install irw

import irw
df = irw.fetch("karsen_2025_mooc_motivation")

How to cite

@misc{https://doi.org/10.5281/zenodo.17023586,
  doi = {10.5281/ZENODO.17023586},
  url = {https://zenodo.org/doi/10.5281/zenodo.17023586},
  author = {KARSEN, MARISA},
  title = {MOOC Motivation},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0