387,004 responses from 1,213 respondents to 15,293 items.
One of 9 tables from the same source; this one is the fr_en__reverse_translate table. The others are listed under Related tables.
| Description | Modeling of second language acquisition, data from French learners (who already speak English). |
|---|---|
| Reference | Settles, 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 |
| Licence | CC BY 4.0 |
| Source data | http://sharedtask.duolingo.com/2018.html#task-definition-data |
| Responses | 387,004 |
|---|---|
| Respondents | 1,213 |
| Items | 15,293 |
| Response categories | 2 |
| Responses per respondent | 319.047 |
| Responses per item | 25.306 |
| Density | 0.021 |
| Longitudinal | FALSE |
| sample | General/non-specific |
|---|---|
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Constructed Response |
| primary language(s) | eng, fre |
| construct name | reverse_translate |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
rt | IRW standard Response time. | made in the build script |
| Other columns | ||
dependency_head | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
dependency_label | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
format | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
morphology | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
part_speech | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
session | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
stem | Not 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.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("duolingo_fr_en__reverse_translate")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("duolingo_fr_en__reverse_translate")
@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}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v37.0 |