Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Data science academic programs in the pre-ChatGPT erain the Midwestern United States: a curated dataset
0
Zitationen
2
Autoren
2026
Jahr
Abstract
This dataset documents and classifies academic programs in data science offered by higher education institutions in the Midwestern United States prior to widespread adoption of generative artificial intelligence tools (up to 2023). Detailed program-level metadata, including program names and types, institutional types, degree levels, and state-by-state information are systematically compiled using a reproducible typology. The resource enables investigation of regional trends, curriculum benchmarking, and comparative analysis of data science education in the pre-generative-AI era. By providing a standardized and transparent overview of academic offerings, the dataset supports research, educational planning, and policy decisions related to workforce development and the evolving landscape of data science education.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 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 · 5.476 Zit.