Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://doi.org/10.21256/zhaw-28645| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Large language models and artificial intelligence as tools for teaching and learning writing |
| Autor/-in: | Mahlow, Cerstin |
| et. al: | No |
| DOI: | 10.17192/obst.2023.101.8607 10.21256/zhaw-28645 |
| Erschienen in: | Osnabrücker Beiträge zur Sprachtheorie |
| Band(Heft): | 101 |
| Seite(n): | 175 |
| Seiten bis: | 196 |
| Erscheinungsdatum: | Aug-2023 |
| Verlag / Hrsg. Institution: | Universitätsbibliothek Marburg |
| ISSN: | 1617-2639 |
| Sprache: | Englisch |
| Schlagwörter: | Artificial intelligence; Large language model; Natural language processing; Written language acquisition |
| Fachgebiet (DDC): | 410.285: Computerlinguistik 808: Rhetorik und Schreiben |
| Zusammenfassung: | Rapid advances in artificial intelligence (AI), specifically large language models (LLMs), have recently generated significant debate. This article explores the impact of these developments on learning to write in a first or second/foreign language, specifically German. We examine the technology behind AI-based tools and the natural language processing (NLP) tasks for which they were originally designed. This will help us identify the possibilities and limitations of their use in the context of language learning. We then examine how this technology can be used effectively in language teaching and learning. In conclusion: the availability of these tools will allow language teaching to focus on the non-mechanical aspects of writing; automatically generated personalized teaching and learning materials will make room for and support human-human interaction. |
| Weitere Angaben: | Special Issue: Inklusiver Schrift(sprach)erwerb Deutsch, https://doi.org/10.17192/obst.2023.101, Editors: Manuela Böhm, Christiane Hohenstein |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28645 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Angewandte Linguistik |
| Organisationseinheit: | Institute of Language Competence (ILC) |
| Enthalten in den Sammlungen: | Publikationen Angewandte Linguistik |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2023_Mahlow_LLM-and-AI-for-teaching-and-learning-writing_OBST.pdf | 182.99 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Mahlow, C. (2023). Large language models and artificial intelligence as tools for teaching and learning writing. Osnabrücker Beiträge Zur Sprachtheorie, 101, 175–196. https://doi.org/10.17192/obst.2023.101.8607
Mahlow, C. (2023) ‘Large language models and artificial intelligence as tools for teaching and learning writing’, Osnabrücker Beiträge zur Sprachtheorie, 101, pp. 175–196. Available at: https://doi.org/10.17192/obst.2023.101.8607.
C. Mahlow, “Large language models and artificial intelligence as tools for teaching and learning writing,” Osnabrücker Beiträge zur Sprachtheorie, vol. 101, pp. 175–196, Aug. 2023, doi: 10.17192/obst.2023.101.8607.
MAHLOW, Cerstin, 2023. Large language models and artificial intelligence as tools for teaching and learning writing. Osnabrücker Beiträge zur Sprachtheorie. August 2023. Bd. 101, S. 175–196. DOI 10.17192/obst.2023.101.8607
Mahlow, Cerstin. 2023. “Large Language Models and Artificial Intelligence as Tools for Teaching and Learning Writing.” Osnabrücker Beiträge Zur Sprachtheorie 101 (August): 175–96. https://doi.org/10.17192/obst.2023.101.8607.
Mahlow, Cerstin. “Large Language Models and Artificial Intelligence as Tools for Teaching and Learning Writing.” Osnabrücker Beiträge Zur Sprachtheorie, vol. 101, Aug. 2023, pp. 175–96, https://doi.org/10.17192/obst.2023.101.8607.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.