Dataset Crowdsourcing for Language Learning (2020–2022): Published Table Aggregates
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Output type
Dataset
Dataset version
1.0
Creator affiliations
L. Miloshevska — University of Information Science and Technology "St. Paul the Apostle", Ohrid, North Macedonia
Creation / compilation date
2026
Language
en
Date
Creators / compilers
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.
Dataset description
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repository compilation contains selected aggregate results, with transcription and documentation; it does not contain unpublished respondent data.
Scope and limitations
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.
Keywords
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.
Assigned Handle
Dataset / file 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.
Licence URL
File access conditions
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.
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Data files and documentation
Document
Type
Size
1 - 5 of 5
README.md
Attribution corrected on 9 October 2026; source authors credited, compiler listed separately.
Unknown
3.66 KB
LICENSE.md
Attribution corrected on 9 October 2026; source authors credited, compiler listed separately.
Unknown
1.34 KB