Privacy-preserving Learner Modeling
Privacy-Preserving Learner Modeling is a learner modeling approach that belongs to the broader category of educational data mining techniques, distinguished by its integration of computational methods to protect individual student data隐私 while enabling effective inference of learning-related patterns and personalization.
18
Publications
1.6K
Citations
70
Authors
33
Institutions
Publications per year
2017–2026
13
Parents
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1–5 of 18
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33
Google (Israel)
Haifa, Israel
2 h-index
22 publications
561 citations
National Research Council
Rome, Italy
1 h-index
2 publications
58 citations
Campbellsville University
Campbellsville, United States
1 h-index
1 publications
39 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
94 citations
University of South Florida
Tampa, United States
1 h-index
1 publications
443 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
58 citations
University of Illinois System
Urbana, United States
1 h-index
1 publications
58 citations
Institute of Management Technology
Ghaziabad, India
1 h-index
2 publications
36 citations
1–8 of 33
2 publications · 85 citations
2
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ETRD · 1 publications · 271 citations
1
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1 publications · 169 citations
1
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1 publications · 18 citations
1
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TRE · 1 publications · 35 citations
1
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1–5