1,182,065 responses from 18,563 respondents to 2,894 items.
The scored version of this table is papousek_2017_anatomy.
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 | Nominal companion of papousek_2017_anatomy: adaptive practice of anatomical terms (practiceanatomy.com, 18,563 learners, 2,894 terms, 1,182,065 answers). text = id of the term chosen (compare with item, the asked term id; itemcov_term names the asked terms); 2-7 options or open click-on-image. |
|---|---|
| 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 | 2,898 |
| Responses per respondent | 63.679 |
| 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) |
dateiditemitemcov_termresprttexttrial_contexttrial_langtrial_optionstrial_type
date, id, item, resp, rt are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, any codebook is the one 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_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("papousek_2017_anatomy_nom", source="nom")
@inproceedings{Papoušek2014,
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},
url = {http://data.practiceanatomy.com},
note = {Data: practiceanatomy.com public data set}
}
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_nominal v4.1 |
| Redivis dataset DOI | 10.57761/9hzd-dc70 |
| Manifest pin for this IRW version | v4.1 |
| Metadata source | irw_meta v44.0 |