Student Forgetting Modeling
Student Forgetting Modeling is a computational framework within student modeling that specifically characterizes the decay of knowledge retention over time, distinguishing itself by formalizing the temporal dynamics of learners' memory degradation to predict performance decline in educational contexts.
52
Publications
3.4K
Citations
138
Authors
68
Institutions
Publications per year
2017–2026
28
Variants
Knowledge Decay Modeling
Parents
52
Augmenting Knowledge Tracing by Considering Forgetting Behavior
Koki Nagatani, Qian Zhang, Masahiro Sato et al. · 2019 · 242 citations · Full text
Education, Educational Technology, Educational Data Mining +12
RKT: Relation-Aware Self-Attention for Knowledge Tracing
2020 · 174 citations · Full text
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Kansas State University
Manhattan, United States
3 h-index
7 publications
161 citations

Anhui University
Hefei, China
3 h-index
8 publications
293 citations
University of Science and Technology of China
Hefei, China
3 h-index
12 publications
938 citations

University of Groningen
Groningen, The Netherlands
3 h-index
10 publications
474 citations
United States Department of the Navy
Arlington, United States
2 h-index
2 publications
158 citations

Hefei University of Technology
Hefei, China
2 h-index
2 publications
203 citations
University of Kansas
Lawrence, United States
2 h-index
2 publications
158 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
43 citations
1–8 of 68
3 publications · 611 citations
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2 publications · 173 citations
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2 publications · 60 citations
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RER · 2 publications · 158 citations
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1 publications · 14 citations
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