Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students?

URN to cite this document:: urn:nbn:de:bvb:355-epub-584061
DOI to cite this document:: 10.5283/epub.58406

Boehme, Richard ; Coors, Stefan ; Oster, Patrick ; Munser-Kiefer, Meike

; Hilbert, Sven

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 10 Jun 2024 06:54

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Abstract

In Germany (similar to other countries), 30 % of students demonstrate insufficient spelling skills at the end of primary school – partly owing to the challenge for teachers to manage a variety of students’ learning needs. Digital tools using Machine Learning can enable teachers to individualise students’ learning. However, there are still no suitable approaches for demographics of students who ...