Adaptive Scheduling Algorithms
Adaptive Scheduling Algorithms is a computational method within spaced repetition systems that dynamically adjusts the timing of review intervals based on individual learner performance, thereby optimizing long-term retention through personalized learning trajectories.
151
Publications
5.3K
Citations
484
Authors
221
Institutions
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2017–2026
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Nanyang Technological University
Singapore, Singapore
6 h-index
12 publications
227 citations
Stanford University
Stanford, United States
5 h-index
13 publications
1.7K citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
9 publications
585 citations
Princeton University
Princeton, United States
3 h-index
5 publications
156 citations
University of Florida
Gainesville, United States
3 h-index
6 publications
229 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
11 publications
356 citations

Cornell University
Ithaca, United States
3 h-index
5 publications
100 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
4 publications
167 citations
1–8 of 221
5 publications · 224 citations
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4 publications · 179 citations
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TPDS · 3 publications · 164 citations
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Repository · 3 publications · 40 citations
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2 publications · 132 citations
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