Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Challenges and Limitations of Generative AI in Education
11
Zitationen
1
Autoren
2024
Jahr
Abstract
This chapter presents a comprehensive literature review to identify the challenges and limitations of using generative artificial intelligence (GAI) in education. As a result of screening seven major citation databases, 476 studies were reached. Analysis was carried out on 25 studies selected according to the inclusion and exclusion criteria. Results showed that research on using GAI in education is mostly conducted at the higher education level. The number of studies focusing on lower levels of education is quite low. The challenges and limitations of artificial intelligence are more about general education rather than focusing on a specific discipline. ChatGPT was the most investigated GAI tool. The challenges and limitations of using GAI in education are grouped under five factors: ethics and safety; educational implementations; assessment and evaluation; equity and access; quality control and expertise.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 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 · 5.470 Zit.