Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/333610 
Erscheinungsjahr: 
2025
Verlag: 
ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg
Zusammenfassung: 
Integrating  data science and artificial intelligence(AI) into statistics  education have the potential to raise academic standards, improve the overall quality of statistics education. Data science is the "what" and "why" of student performance and learning patterns, and AI is the "how" the intelligent tools could be used in teaching and learning. Statistics plays vital roles in educational research, helping to understand student performance, identify trends, and evaluate the effectiveness of educational interventions. While statistical literacy, enabling individuals to critically evaluate information and make informed decisions. This paper outlines how data science and AI  could be integrated into statistics education; Its impact to improve teaching and learning outcomes; addresses challenges, ethical and policy implications of integrating these technologies into statistics education.
Schlagwörter: 
Statistics
Statistics Education
Data Science
Artificial Intelligence
Dokumentart: 
Research Report
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