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https://doi.org/10.21256/zhaw-28645| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Large language models and artificial intelligence as tools for teaching and learning writing |
| Authors: | Mahlow, Cerstin |
| et. al: | No |
| DOI: | 10.17192/obst.2023.101.8607 10.21256/zhaw-28645 |
| Published in: | Osnabrücker Beiträge zur Sprachtheorie |
| Volume(Issue): | 101 |
| Page(s): | 175 |
| Pages to: | 196 |
| Issue Date: | Aug-2023 |
| Publisher / Ed. Institution: | Universitätsbibliothek Marburg |
| ISSN: | 1617-2639 |
| Language: | English |
| Subjects: | Artificial intelligence; Large language model; Natural language processing; Written language acquisition |
| Subject (DDC): | 410.285: Computational linguistics 808: Rhetoric and writing |
| Abstract: | 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. |
| Further description: | 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 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | Applied Linguistics |
| Organisational Unit: | Institute of Language Competence (ILC) |
| Appears in collections: | Publikationen Angewandte Linguistik |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Mahlow_LLM-and-AI-for-teaching-and-learning-writing_OBST.pdf | 182.99 kB | Adobe PDF |  View/Open |
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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.
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