1. ZHAW digitalcollection
  2. Angewandte Linguistik
  3. Publikationen
  4. Publikationen Angewandte Linguistik
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27143
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMahlow, Cerstin-
dc.date.accessioned2023-02-24T13:39:19Z-
dc.date.available2023-02-24T13:39:19Z-
dc.date.issued2023-02-18-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27143-
dc.descriptionPreprintde_CH
dc.description.abstractThe rapid advancements in large language models (LLM) and artificial intelligence (AI) have been a subject of recent significant interest and debate. This paper explores the impact of these developments on language learning. I discuss the technology underlying AI-based tools and the natural language processing (NLP) tasks they were originally designed for. This will help us to identify opportunities and limitations regarding their use in the context of language learning. I then examine how such technology can be used efficiently and effectively in language teaching and learning. The availability of such tools will require language teaching to focus on the non-mechanical aspects of writing. Similarly, automatically produced personalized teaching and learning materials will not replace human teachers, but give space for and support human–human interaction.de_CH
dc.format.extent22de_CH
dc.language.isoende_CH
dc.publisherEdArXivde_CH
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0/de_CH
dc.subjectArtificial intelligencede_CH
dc.subjectEducational technologyde_CH
dc.subjectLanguage learningde_CH
dc.subjectLanguage teachingde_CH
dc.subjectLanguage technologyde_CH
dc.subjectLarge language modelde_CH
dc.subjectNatural language processingde_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleLarge language models and artificial intelligence, the end of (language) learning as we know it—or not quite?de_CH
dc.typeWorking Paper – Gutachten – Studiede_CH
dcterms.typeTextde_CH
zhaw.departementAngewandte Linguistikde_CH
zhaw.organisationalunitInstitute of Language Competence (ILC)de_CH
dc.identifier.doi10.35542/osf.io/da2rmde_CH
dc.identifier.doi10.21256/zhaw-27143-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.webfeedDigital Linguisticsde_CH
zhaw.webfeedZHAW digitalde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Angewandte Linguistik

Files in This Item:
File Description SizeFormat 
2023_Mahlow_Large-language-models-and-AI-language-learning_preprint.pdfPreprint183.3 kBAdobe PDFThumbnail
View/Open
Show simple item record
Mahlow, C. (2023). Large language models and artificial intelligence, the end of (language) learning as we know it—or not quite? EdArXiv. https://doi.org/10.35542/osf.io/da2rm
Mahlow, C. (2023) Large language models and artificial intelligence, the end of (language) learning as we know it—or not quite? EdArXiv. Available at: https://doi.org/10.35542/osf.io/da2rm.
C. Mahlow, “Large language models and artificial intelligence, the end of (language) learning as we know it—or not quite?,” EdArXiv, Feb. 2023. doi: 10.35542/osf.io/da2rm.
MAHLOW, Cerstin, 2023. Large language models and artificial intelligence, the end of (language) learning as we know it—or not quite? EdArXiv
Mahlow, Cerstin. 2023. “Large Language Models and Artificial Intelligence, the End of (Language) Learning as We Know It—or Not Quite?” EdArXiv. https://doi.org/10.35542/osf.io/da2rm.
Mahlow, Cerstin. Large Language Models and Artificial Intelligence, the End of (Language) Learning as We Know It—or Not Quite? EdArXiv, 18 Feb. 2023, https://doi.org/10.35542/osf.io/da2rm.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.