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Neural Networks or Linguistic Features? - Comparing Different Machine-Learning Approaches for Automated Assessment of Text Quality Traits Among L1- and L2-Learners’ Argumentative Essays

Crossref DOI link: https://doi.org/10.1007/s40593-024-00426-w

Published Print: 2025-09

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Lohmann, Julian F. https://orcid.org/0000-0002-5864-9692
Junge, Fynn https://orcid.org/0009-0009-4834-8325
Möller, Jens https://orcid.org/0000-0003-1767-5859
Fleckenstein, Johanna https://orcid.org/0000-0003-4488-1455
Trüb, Ruth https://orcid.org/0000-0002-9915-8611
Keller, Stefan https://orcid.org/0000-0003-0115-5314
Jansen, Thorben https://orcid.org/0000-0001-9714-6505
Horbach, Andrea https://orcid.org/0009-0004-3680-3304
Funding

Funding for this research was provided by:

Deutsche Forschungsgemeinschaft (MO 648/25-2)

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (197968)

Christian-Albrechts-Universität zu Kiel
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Text and Data Mining valid from 2025-09-01

Text and Data Mining valid from 2025-09-01

Version of Record valid from 2026-04-22
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This article is maintained by: Elsevier

Article Title: Neural Networks or Linguistic Features? - Comparing Different Machine-Learning Approaches for Automated Assessment of Text Quality Traits Among L1- and L2-Learners’ Argumentative Essays

Journal Title: International Journal of Artificial Intelligence in Education

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s40593-024-00426-w

Content Type: article

Copyright: Copyright © 2024 The Author(s). Published by Elsevier Ltd

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