Data-driven Supervision
Data-Driven Supervision is an instructional supervision approach that belongs to the broader category of evidence-based educational practices, distinguished by its systematic use of quantitative and qualitative data to inform, guide, and evaluate supervisory decisions and teacher development initiatives.
27
Publications
1.1K
Citations
79
Authors
48
Institutions
Publications per year
2017–2026
14
Parents
27
Weakly supervised machine learning
Zeyu Ren, Shuihua Wang, Yudong Zhang · CAAI Transactions on Intelligence Technology · 2023 · 154 citations · Full text
1–5 of 27
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Nanjing University of Information Science and Technology, China
1 publications · 14 citations
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1–5 of 79
48
Google (United States)
Mountain View, United States
2 h-index
3 publications
53 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
5 publications
343 citations
Institut Agama Islam Negeri Manado
Manado, Indonesia
1 h-index
1 publications
12 citations
Waseda University
Tokyo, Japan
1 h-index
1 publications
62 citations

University of North Carolina at Greensboro
Greensboro, United States
1 h-index
1 publications
42 citations
University of Toledo
Toledo, United States
1 h-index
2 publications
50 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
64 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
1 h-index
1 publications
62 citations
1–8 of 48
2 publications · 130 citations
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Repository · 2 publications · 84 citations
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2 publications · 34 citations
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Conference · 1 publications · 53 citations
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Repository · 1 publications · 23 citations
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