Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Current Trends, Concerns, and Future Improvements in Generative Artificial Intelligence (GAI) in Education: A Literature Review
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Recent investigations have focused on human-artificial intelligence (AI) interaction (HAII), including Generative Artificial Intelligence (GAI) such as ChatGPT, which has emerged as an area of growing interest in the field of education. Despite numerous discussions on GAI usage in the educational setting, limited studies have examined the current trends, concerns, and future improvements. The current work performed a literature review of GAI, such as ChatGPT in education by applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique to assess and analyze relevant literature. The results discovered the current trends of ChatGPT in education, which were primarily related to the necessity for appropriate guidelines, regulations, and ethical frameworks to ensure sufficient responsibilities and ethics (fairness, transparency, privacy, security, and regulatory requirements) of usage for educational purposes. In addition, the major concerns were demonstrated to be the need for formulating pertinent guidelines and policies, ongoing monitoring, and continuous improvements to promote ethically and responsibly GAI, such as ChatGPT usage in educational settings. Potential areas of future improvement for utilizing GAI, such as ChatGPT in education, in terms of ethical and bias considerations, were also revealed. Thus, future researchers should address the ethical considerations of GAI, such as ChatGPT usage in education, as delineated in the current findings.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.339 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.211 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.614 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.478 Zit.