1,182,065 responses from 18,563 respondents to 2,894 items.
A version of this table that keeps the option each respondent chose is papousek_2017_anatomy_nom.
One of 2 tables from the same source; this one measures Anatomy terminology (recognition and recall of anatomical structures). The others are listed under Related tables.
| Description | Adaptive practice of anatomical terms on practiceanatomy.com (Czech/Slovak and English users, Nov 2015 - Jan 2017): 1,182,065 answers from 18,563 learners on 2,894 terms. resp = correct; resp_raw = id of the term chosen; trials are find-on-image (t2d) or name-the-highlighted-term (d2t), with 2-7 options or open. |
|---|---|
| Reference | Papoušek, J., Pelánek, R., & Stanislav, V. (2014). Adaptive practice of facts in domains with varied prior knowledge. In Proceedings of the 7th International Conference on Educational Data Mining (pp. 6-13). Data: practiceanatomy.com public data set, http://data.practiceanatomy.com |
| Licence | ODbL 1.0 |
| Source data | http://data.practiceanatomy.com |
| Responses | 1,182,065 |
|---|---|
| Respondents | 18,563 |
| Items | 2,894 |
| Response categories | 2 |
| Responses per respondent | 63.679 |
| Responses per item | 408.454 |
| Density | 0.022 |
| Longitudinal | TRUE |
| sample | Educational, Internet-based |
|---|---|
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | cze, eng, lat |
| construct name | Anatomy terminology (recognition and recall of anatomical structures) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, papousek_2017_anatomy.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 |
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_term | Not documented Covariates invariant to measurement probes (item-level attributes). | made in the build script |
trial_context | Not documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on. | made in the build script |
trial_lang | Not documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on. | made in the build script |
trial_options | Not documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on. | made in the build script |
trial_type | Not documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("papousek_2017_anatomy")
# Python
pip install irw
import irw
df = irw.fetch("papousek_2017_anatomy")
@inproceedings{Papovsek2014,
author = {Papoušek, J. and Pelánek, R. and Stanislav, V.},
title = {Adaptive practice of facts in domains with varied prior knowledge},
booktitle = {Proceedings of the 7th International Conference on Educational Data Mining},
pages = {6--13},
year = {2014},
note = {practiceanatomy.com public data set},
url = {http://data.practiceanatomy.com}
}
| 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 |