Explainable Feedback Generation
Explainable Feedback Generation is a method within the domain of Automated Feedback Generation that provides transparent, human-interpretable justifications for generated feedback by revealing the underlying reasoning, rules, or evidence guiding its feedback decisions.
8
Publications
616
Citations
23
Authors
14
Institutions
Publications per year
2017–2026
3
8
Control and explanation in a signal understanding environment
Franz Kümmert, H. Niemann, R. Prechtel et al. · Signal Processing · 1993 · 55 citations · Full text
Valdemar Danry, Pat Pataranutaporn, Yaoli Mao et al. · 2020 · 31 citations · Full text
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14
Bielefeld University
Bielefeld, Germany
2 h-index
5 publications
155 citations

University of Duisburg-Essen
Essen, Germany
1 h-index
1 publications
26 citations

University of Helsinki
Helsinki, Finland
1 h-index
1 publications
22 citations
University College London
London, United Kingdom
1 h-index
1 publications
21 citations
Marcus (United States)
Houston, United States
1 h-index
3 publications
48 citations
Georgia State University
Atlanta, United States
1 h-index
1 publications
16 citations
Center for Autism and Related Disorders
San Fernando, United States
1 h-index
3 publications
48 citations
National University of Singapore
Singapore, Singapore
1 h-index
2 publications
42 citations
1–8 of 14
1 publications · 430 citations
1
h-index
1 publications · 22 citations
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1 publications · 26 citations
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1 publications · 15 citations
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Conference · 1 publications · 21 citations
1
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