Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Navigating the Knowledge Stream: Analyzing ChatGPT's Impact on Education Through Bibliometric
0
Zitationen
3
Autoren
2026
Jahr
Abstract
The use of ChatGPT technology in educational settings has sparked substantial discussion within the academic community. This innovation has instigated significant transformations in the landscape of educational systems. This article undertakes a bibliometric analysis of research on ChatGPT in Education spanning 2022 to 2023, covering the period from ChatGPT's inception to the present day. The primary aim of this study is to conduct both quantitative and qualitative analyses of research trends in the application of ChatGPT in the field of Education. This comprehensive investigation encompasses document types, subject areas, notable researchers, scientific collaboration, top countries and institutions, influential papers, prominent journals, and emerging topics. The results reveal that the most popular review articles and the highest paper counts were observed across document types. Within the subject area, ChatGPT emerged as the most prominent topic in education. Researchers from the UK and the Netherlands stood out prominently.Regarding the number of authors, articles authored by a single writer were the most abundant. Among the leading countries, the United States ranked first. The most prolific institute was in India, and the most impactful was in the UK. The leading journal was Nature, and the top article was also published there.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.719 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.628 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.176 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.880 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.