Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
STEM exam performance: Open‐ versus closed‐book methods in the large language model era
3
Zitationen
8
Autoren
2024
Jahr
Abstract
While OBEs are better suited to contemporary educational needs, the influence of LLMs on their effectiveness necessitates further study. Institutions should prudently consider the competencies assessed by OBEs, particularly in light of evolving technological landscapes. Future research should explore the integrity of OBEs in the presence of LLMs to ensure fair and effective student evaluations.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 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 · 5.423 Zit.