Rubric-based Feedback Generation
Rubric-Based Feedback Generation is a computational method for generating formative academic feedback by systematically aligning student work to predefined criteria and performance levels specified in a rubric, thereby enabling structured, consistent, and criterion-referenced assessment.
91
Publications
4.8K
Citations
252
Authors
104
Institutions
Publications per year
2017–2026
38
91
Student perspectives on rubric-referenced assessment
Heidi Andrade, Ying Du · 2020 · 331 citations · Full text
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT
Wei Dai, Jionghao Lin, Hua Jin et al. · 2023 · 242 citations
Education, Educational Assessment, Educational Technology +17
Chinmay Kulkarni, Michael S. Bernstein, Scott Klemmer · 2015 · 189 citations · Full text
Education, Educational Assessment, Educational Technology +17
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104
Stanford University
Stanford, United States
4 h-index
17 publications
3.5K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
339 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
17 publications
519 citations

Monash University
Melbourne, Australia
3 h-index
16 publications
2.5K citations
Curtin University
Perth, Australia
3 h-index
6 publications
202 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
462 citations
Columbia University
New York, United States
2 h-index
6 publications
158 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
73 citations
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5 publications · 339 citations
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4 publications · 182 citations
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2 publications · 73 citations
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2 publications · 335 citations
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2 publications · 53 citations
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