Denis Kreibel
Papers
2
Total Citations
136
H-Index
2
About
Denis Kreibel is a leading voice at the intersection of artificial intelligence and educational assessment, with a focused expertise on how AI is reshaping evaluation methods in primary and secondary education. His most influential work, a systematic literature review published in 2023, has garnered 68 citations in both its English and Spanish versions, underscoring the global relevance of his research. In this landmark study, Kreibel synthesizes findings across computer science, statistics, and psychology to demonstrate how AI can enrich educational assessment—moving beyond traditional testing toward adaptive, personalized, and data-driven evaluation frameworks. His work highlights both the transformative potential and the practical challenges of integrating AI into classrooms, offering a roadmap for educators and policymakers. By bridging technical innovation with pedagogical practice, Kreibel has established himself as a key contributor to the emerging field of AI in education. His research continues to inform debates on equitable assessment, automated feedback systems, and the ethical deployment of learning analytics, making his scholarship essential reading for anyone interested in the future of teaching and learning.
Research Focus
Key Achievements
Top Papers
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