Dataset Crowdsourcing for Language Learning (2020–2022): Published Table Aggregates
| dc.contributor.author | Ç. Hatipoğlu | |
| dc.contributor.author | N. Delibegović Džanić | |
| dc.contributor.author | E. Gajek | |
| dc.contributor.author | L. Miloshevska | |
| dc.contributor.other | P. Taskov (compiler) | |
| dc.date.accessioned | 2026-10-09T13:13:21Z | |
| dc.date.created | 2026 | |
| dc.date.issued | 2026 | |
| dc.description | Partial published aggregates, not original questionnaire responses or a complete replication dataset. P1 is Spring 2020; P2 is Spring 2022. Source totals 211 and 185 are not known question-specific denominators. Table 1a reports RNM total 41 while prose says 42; country male counts sum to 68 while ALL reports 69; Poland male/female counts sum to 57 while the table total is 58. Table 2a gives B1=2.8% and A2=1.4%, while prose gives 2.5% and 1.3%; the CSV retains the table values. Table 3 total 468 represents multiple-response resource mentions, not unique respondents. Blank cells are omitted; no missing categories, counts, denominators or individual records were inferred. These inconsistencies originate in the source publication and were not repaired. Consult the README and data dictionary. | |
| dc.description.abstract | A partial machine-readable compilation of 166 published aggregate table cells from the crowdsourcing and language-learning study by Ç. Hatipoğlu, N. Delibegović Džanić, E. Gajek and L. Miloshevska (2022), DOI 10.4312/slo2.0.2022.2.132-183. Includes selected counts and percentages from Tables 1a, 1b, 2a, 2b and 3, with explicit categories and source-page locators. The author list credits the original study and published results. This repository compilation contains selected aggregate results, with transcription and documentation; it does not contain unpublished respondent data. | |
| dc.identifier.citation | Ç. Hatipoğlu, N. Delibegović Džanić, E. Gajek and L. Miloshevska (2022). Crowdsourcing and language learning habits and practices in Turkey, Bosnia and Herzegovina, the Republic of North Macedonia and Poland in the pre-pandemic and pandemic periods. https://doi.org/10.4312/slo2.0.2022.2.132-183. Published aggregate extraction: Crowdsourcing for Language Learning (2020–2022): Published Table Aggregates, version 1.0 (2026). UIST Digital Repository. https://hdl.handle.net/20.500.15029/279. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.15029/279 | |
| dc.language.iso | en | |
| dc.relation.references | https://doi.org/10.4312/slo2.0.2022.2.132-183 | |
| dc.rights | CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/), preserving the source article attribution and share-alike condition. Derived partial selection and transcription of published aggregate results, with category labels, documented typographic normalization and new provenance/documentation. Source: Ç. Hatipoğlu, N. Delibegović Džanić, E. Gajek and L. Miloshevska (2022). Prepared with AI assistance; no source-author endorsement is claimed. Full article and unpublished respondent material are excluded. See LICENSE.md. | |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | |
| dc.title | Crowdsourcing for Language Learning (2020–2022): Published Table Aggregates | |
| dc.type | Dataset | |
| dcterms.accessRights | Open access: the CSV, README.md, DATA_DICTIONARY.md, LICENSE.md and SHA256SUMS.txt are intended for anonymous download without registration or embargo. Reuse follows CC BY-SA 4.0. | |
| dspace.entity.type | Dataset | |
| local.creator.affiliation | L. Miloshevska — University of Information Science and Technology "St. Paul the Apostle", Ohrid, North Macedonia | |
| local.dataset.methods | Selected explicitly reported table cells, transcribed counts and percentages into UTF-8 CSV and added category labels and provenance. Each selected value was checked against rendered source tables during October 2026 preparation: PDF pages 12, 13, 14 and 17 (printed pages 143, 144, 145 and 148). Documented normalization of malformed TUR percentage typography 72.,1 to 72.1; retained printed totals, precision and source inconsistencies. | |
| local.dataset.version | 1.0 |
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