40,745,825 responses from 637,446 respondents to 4,663 items.
A version of this table that keeps the option each respondent chose is choi_2020_ednet_listening_nom.
One of 4 tables from the same source; this one measures TOEIC Listening (EdNet KT1, parts 1-4). The others are listed under Related tables.
| Description | EdNet KT1: TOEIC practice answers from Santa, a Korean tutoring app (Riiid), TOEIC parts 1-4 (listening: photographs, question-response, conversations, talks). resp = correct; resp_raw = the letter picked (a-d); rt in seconds; item_family = bundle of questions sharing a passage or audio clip. |
|---|---|
| Reference | Choi, Y., Lee, Y., Shin, D., Cho, J., Park, S., Lee, S., Baek, J., Bae, C., Kim, B., & Heo, J. (2020). EdNet: A large-scale hierarchical dataset in education. In Artificial Intelligence in Education (AIED 2020), LNCS 12164, 69-73. |
| DOI | 10.1007/978-3-030-52240-7_13 |
| Licence | CC BY-NC 4.0 |
| Source data | https://github.com/riiid/ednet |
| Responses | 40,745,825 |
|---|---|
| Respondents | 637,446 |
| Items | 4,663 |
| Response categories | 2 |
| Responses per respondent | 63.920 |
| Responses per item | 8738.114 |
| Density | 0.014 |
| Longitudinal | TRUE |
| sample | Educational, Internet-based |
|---|---|
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | TOEIC Listening (EdNet KT1, parts 1-4) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, choi_2020_ednet.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | made in the build script |
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 |
item_family | IRW standard Groups items that may violate local independence — testlets, clones, or clusters of similar items. | made in the build script |
resp | IRW standard Response value. | made in the build script |
resp_raw | IRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string. | made in the build script |
rt | IRW standard Response time. | made in the build script |
| Other columns | ||
itemcov_part | Not documented Covariates invariant to measurement probes (item-level attributes). | made in the build script |
What item codes and covariate values stand for is in the source’s README, README.md.
Licence: CC BY-NC 4.0 — non-commercial use only.
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("choi_2020_ednet_listening")
# Python
pip install irw
import irw
df = irw.fetch("choi_2020_ednet_listening")
@inbook{Choi_2020, title={EdNet: A Large-Scale Hierarchical Dataset in Education}, ISBN={9783030522407}, ISSN={1611-3349}, url={http://dx.doi.org/10.1007/978-3-030-52240-7_13}, DOI={10.1007/978-3-030-52240-7_13}, booktitle={Artificial Intelligence in Education}, publisher={Springer International Publishing}, author={Choi, Youngduck and Lee, Youngnam and Shin, Dongmin and Cho, Junghyun and Park, Seoyon and Lee, Seewoo and Baek, Jineon and Bae, Chan and Kim, Byungsoo and Heo, Jaewe}, year={2020}, pages={69–73} }
| IRW version | v581 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |