Abstract & Overview
No abstract is available for this record.
Home/e-Resources/Data Science & Analytics/ChatGPT for good? On opportunities and challenges of large language models for education
PeriodicalsData Science & Analytics
ChatGPT for good? On opportunities and challenges of large language models for education
Checking your access to this record.
Cite this record
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. https://doi.org/10.1016/j.lindif.2023.102274Copy in another style
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., & Kutyniok, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. https://doi.org/10.1016/j.lindif.2023.102274
Author names are used as deposited, so check their order before you submit.
Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.
Related Literature
Pesticide residue elimination for fruits and vegetables: the mechanisms, applications, and future trends of thermal and non-thermal technologies
An‐An Zhang, Qiang Bian
In Journal of Future Foods
Leadership structure: Separating the CEO and Chairman of the Board
Jeffrey L. Coles, James A. Brickley
In Journal of Corporate Finance
The influence of political connection on corporate social responsibility——evidence from Listed private companies in China
Haifeng Huang, Zhenrui Zhao
In International Journal of Corporate Social Responsibility
Data Min-ing in Film Review with Sentiment Analysis
Т. М. Сабирова
In Hans Journal of Data Mining