Data · dataset · 2015
Learning analytics for Lix puzzle-game
Listed in DANS Data Station Social Sciences and Humanities and ODISSEI Portal — shown once because both records carry DOI 10.17026/dans-xk7-8f5r
This study aimed to understand how people learn from games and serious games.
Description
Specifically, the aim was to collect data from gaming interactions to see if we can identify any patterns. The experiments have been carried out with a group of 15 participants.
We asked them to play a short minigame of a game called Lix. Our data set contains the players' time series of activities during a gameplay. There are 15 CSV files containing the players' data per gameplay.
Read the rest (2 more)
Each file contains 11 features. The descriptions of the game, features, and actions are provided in separate txt files. Use of this dataset in publications must be acknowledged by referencing the publication mentioned above (Relation).
This work was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA n2010-0012.
Links
Where it is published
- Dataverse dataset page ssh.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-XK7-8F5R ↗
landing page · from ssh datastations nl
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-XK7-8F5R ↗
landing page · from portal odissei nl
- DOI doi.org/10.17026/dans-xk7-8f5r ↗
DOI / persistent id · from ssh datastations nl
Catalogue records · 2
- Dataverse API ssh.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from ssh datastations nl
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Computer and Information Science · Computer and Information Science · Social Sciences · Social Sciences
- From keywords
- Humanities · Social Science · Social Science
- Inferred from text
- Learning analytics 77%
Provenance · 2 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Social Sciences and Humanities | doi:10.17026/DANS-XK7-8F5R | 10 d ago | JSON v1 |
| ODISSEI Portal | doi:10.17026/DANS-XK7-8F5R | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:390408 | enrichment · ssh datastations nl | taxonomy-embedding@1.1.0 | title+keywords+description (77%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| created_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| description | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /description |
| publication_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| title | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | /name |
| updated_date | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 | |
| version_label | source · ssh datastations nl | connector:ssh_datastations_nl@1.0.0 |