Automated Corrective Feedback
Automated Corrective Feedback is a form of corrective feedback generated by computational systems rather than human agents, distinguished by its reliance on algorithms and artificial intelligence to identify, analyze, and address learner errors in academic or instructional contexts.
114
Publications
5.7K
Citations
347
Authors
170
Institutions
Publications per year
2017–2026
67
Parents
114
A system which automatically improves programs
John Darlington, R. M. Burstall · Acta Informatica · 1976 · 193 citations
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170
University of Technology Sydney
Sydney, Australia
4 h-index
10 publications
337 citations
Educational Testing Service
Princeton, United States
3 h-index
6 publications
404 citations

Queensland University of Technology
Brisbane, Australia
3 h-index
5 publications
98 citations

Monash University
Melbourne, Australia
3 h-index
6 publications
148 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
82 citations
Stanford University
Stanford, United States
2 h-index
4 publications
109 citations

University of Alberta
Edmonton, Canada
2 h-index
2 publications
56 citations

Children's Hospital of Philadelphia
Philadelphia, United States
2 h-index
18 publications
1.9K citations
1–8 of 170
4 publications · 289 citations
4
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Repository · 3 publications · 155 citations
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2 publications · 76 citations
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2 publications · 139 citations
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2 publications · 100 citations
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