duolingo_en_es__reverse_tap

693,857 responses from 2,168 respondents to 13,282 items.

One of 9 tables from the same source; this one is the en_es__reverse_tap table. The others are listed under Related tables.

About this table

DescriptionModeling of second language acquisition, data from English learners (who already speak Spanish).
ReferenceSettles, Burr, 2018, "Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)", https://doi.org/10.7910/DVN/8SWHNO, Harvard Dataverse, V4, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
LicenceCC BY 4.0
Source datahttp://sharedtask.duolingo.com/2018.html#task-definition-data

Size and shape

Responses693,857
Respondents2,168
Items13,282
Response categories2
Responses per respondent320.045
Responses per item52.240
Density0.024
LongitudinalFALSE

Classification

sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolTest
item formatConstructed Response
primary language(s)eng, spa
construct namereverse_tap

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, duolingo2018.R. 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
rtIRW standard Response time.made in the build script
Other columns
dependency_headNot documented Not documented by the IRW; see the source’s codebook.not traced
dependency_labelNot documented Not documented by the IRW; see the source’s codebook.not traced
formatNot documented Not documented by the IRW; see the source’s codebook.made in the build script
morphologyNot documented Not documented by the IRW; see the source’s codebook.made in the build script
part_speechNot documented Not documented by the IRW; see the source’s codebook.not traced
sessionNot documented Not documented by the IRW; see the source’s codebook.made in the build script
stemNot documented Not documented by the IRW; see the source’s codebook.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

Browse on Redivissign in to download

This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.

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("duolingo_en_es__reverse_tap")
# Python
pip install irw

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

How to cite

@misc{https://doi.org/10.7910/dvn/8swhno,
  doi = {10.7910/DVN/8SWHNO},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8SWHNO},
  author = {{Settles, Burr}},
  keywords = {Computer and Information Science, Social Sciences, Duolingo, Spaced Repetition, Second Language Acquisition, Machine Learning, Computational Linguistics},
  title = {Data for the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM)},
  publisher = {Harvard Dataverse},
  year = {2018}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v40.0