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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kasneci, Enkelejda; Sessler, Kathrin; Küchemann, Stefan; Bannert, Maria; Dementieva, Daryna; Fischer, Frank; Gasser, Urs; Groh, Georg; Günnemann, Stephan; Hüllermeier, Eyke; Krusche, Stepha; Kutyniok, Gitta; Michaeli, Tilman; Nerdel, Claudia; Pfeffer, Jürgen; Poquet, Oleksandra; Sailer, Michael; Schmidt, Albrecht; Seidel, Tina; Stadler, Matthias; Weller, Jochen; Kuhn, Jochen; Kasneci, Gjergji
Titel:
ChatGPT for good? On opportunities and challenges of large language models for education
Abstract:
Large language models represent a significant advancement in the field of AI. The underlying technology is key to further innovations and, despite critical views and even bans within communities and regions, large language models are here to stay. This commentary presents the potential benefits and challenges of educational applications of large language models, from student and teacher perspectives. We briefly discuss the current state of large language models and their applications. We then hi...     »
Stichworte:
Large language models, Artificial intelligence, Education, Educational technologies
Zeitschriftentitel:
Learning and Individual Differences
Jahr:
2023
Band / Volume:
103
Seitenangaben Beitrag:
102274
Volltext / DOI:
doi:https://doi.org/10.1016/j.lindif.2023.102274
WWW:
https://www.sciencedirect.com/science/article/pii/S1041608023000195
Print-ISSN:
1041-6080
 BibTeX