Feedback Generation For Programming
Feedback Generation for Programming is a computational method that systematically produces formative evaluations of code artifacts by analyzing syntactic, semantic, and structural properties of student programs to provide targeted, actionable guidance for improvement within programming education contexts.
228
Publications
10.5K
Citations
592
Authors
219
Institutions
Publications per year
2017–2026
120
228
Elena L. Glassman, Jeremy Scott, Rishabh Singh et al. · ACM Transactions on Computer-Human Interaction · 2015 · 170 citations
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North Carolina State University
Raleigh, United States
12 h-index
43 publications
1.9K citations
Microsoft (United States)
Redmond, United States
11 h-index
21 publications
1.3K citations
Aalto University
Espoo, Finland
8 h-index
19 publications
737 citations
Utrecht University
Utrecht, The Netherlands
7 h-index
12 publications
725 citations
University of California, Berkeley
Berkeley, United States
7 h-index
24 publications
879 citations
Virginia Tech
Blacksburg, United States
6 h-index
16 publications
467 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
20 publications
1.2K citations

Open University of the Netherlands
Heerlen, The Netherlands
6 h-index
14 publications
1K citations
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Repository · 5 publications · 266 citations
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Conference · 4 publications · 89 citations
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CAE · 4 publications · 164 citations
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4 publications · 143 citations
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4 publications · 234 citations
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