Digitalisation in the curricula of vocational schools: text mining as an instrument of curricula analysis


Delcker, Jan


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DOI: https://doi.org/10.1007/s10758-022-09591-0
URL: https://madoc.bib.uni-mannheim.de/61722
Additional URL: https://link.springer.com/article/10.1007/s10758-0...
URN: urn:nbn:de:bsz:180-madoc-617226
Document Type: Article
Year of publication: 2023
The title of a journal, publication series: Technology, Knowledge and Learning
Volume: 28
Issue number: 3
Page range: 999-1014
Place of publication: Dordrecht [u.a.]
Publishing house: Springer Science + Business Media
ISSN: 2211-1662 , 2211-1670
Related URLs:
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 370 Education
Keywords (English): curricula analysis , vocational school , text mining , keywords in context


SDG 4: Quality Education


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