Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Reimagining Educational Assessment in the Artificial Intelligence Era: An Umbrella Review of Innovations and Future Directions
0
Zitationen
1
Autoren
2026
Jahr
Abstract
The rapid and pervasive integration of advanced Artificial Intelligence (AI) tools, particularly Large Language Models (LLMs) such as ChatGPT, has created a profound disruption in higher education, rendering many traditional student assessment methods obsolete. This paradigm shift necessitates a comprehensive re-evaluation of pedagogical and evaluative practices. This umbrella review synthesizes the findings from 40 recent systematic reviews, meta-analyses, and scoping studies (2020–2026) to delineate emerging, robust assessment strategies in the AI era. The synthesis identifies three critical, interconnected themes: Adaptive and Formative Assessment, AI-Enabled Authentic Assessment, and Predictive and Diagnostic Assessment. The core conclusion is that the age of AI demands a fundamental shift from evaluating the product of learning to assessing the process of learning and the student's competency in human-AI collaboration. This review provides a synthesized framework for educators and policymakers seeking to future-proof their assessment systems.
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.