Machine-assisted Scoring
Machine-Assisted Scoring is a computational methodology in educational assessment that integrates automated systems with human judgment to enhance the accuracy, consistency, and efficiency of scoring processes by leveraging algorithmic support for decision-making while retaining human oversight.
112
Publications
5.2K
Citations
346
Authors
152
Institutions
Publications per year
2017–2026
49
Parents
112
1–5 of 112
346
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1–5 of 346
152
Educational Testing Service
Princeton, United States
11 h-index
32 publications
2.4K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
2 h-index
2 publications
34 citations

European Bioinformatics Institute
Cambridge, United Kingdom
2 h-index
8 publications
136 citations
University of Colorado Anschutz Medical Campus
Aurora, United States
2 h-index
2 publications
34 citations

Cincinnati Children's Hospital Medical Center
Cincinnati, United States
2 h-index
2 publications
34 citations
RWTH Aachen University
Aachen, Germany
2 h-index
2 publications
34 citations
National University of Ireland, Maynooth
Maynooth, Ireland
2 h-index
6 publications
102 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
274 citations
1–8 of 152
6 publications · 256 citations
6
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Repository · 5 publications · 84 citations
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3 publications · 168 citations
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3 publications · 75 citations
3
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3 publications · 149 citations
3
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