Data · dataset · 2022
Blockly questionnaire ROLAP cube and correlation table
Listed in Debreceni Egyetem Adattár
Multidimensional ROLAP cubes processed with OLAP technology.
Description
We chose the point of the solution and the point of self-assessment as the main indicators. The main dimensions of the dataset are: Task: the attributes of which are category (of the task and subtasks), critical factor, programming tool and mathematical concept.
Pupil: the attributes of which are grade, orientation, Blockly Code (whether they learned or not) and Blockly year (when they learned). Solution: the attributes of which are the generic type of mistakes and typical mistakes. The average points were calculated based on the points students earned in each subtask and we presented them grouped by attributes according to our former paper.
Read the rest (1 more)
It contained comparison of the surveyors’ self-assessment points with the obtained results.
Links
Where it is published
- Dataverse dataset page adattar.unideb.hu/dataset.xhtml?persistentId=doi%3A10.48428%2FADATTAR%2FVHGKF7 ↗
landing page · from adattar unideb hu
- DOI doi.org/10.48428/adattar/vhgkf7 ↗
DOI / persistent id · from adattar unideb hu
Catalogue records · 1
- Dataverse API adattar.unideb.hu/api/datasets/:persistentId/?persistentId=doi%3A10.48428%2FADAT… ↗
metadata API · from adattar unideb hu
Topics
- Stated by source
- Computer and Information Science · Mathematical Sciences
- From keywords
- Engineering · Humanities · Life Sciences · Mathematics & Statistics · Social Science
- Inferred from text
- Statistics 68% · Tabular 65%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Debreceni Egyetem Adattár | doi:10.48428/ADATTAR/VHGKF7 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4905 | enrichment · adattar unideb hu | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:mathematical-sciences | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[modality].local:modality:tabular | enrichment · adattar unideb hu | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| description | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /description |
| publication_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| title | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /name |
| updated_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| version_label | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 |