Adaptive Learning Resource Recommendation
Adaptive Learning Resource Recommendation is a type of personalized recommendation system that dynamically adjusts the selection and presentation of learning resources based on continuous analysis of individual learners’ interactions, preferences, and performance to optimize educational outcomes.
58
Publications
2.2K
Citations
196
Authors
108
Institutions
Publications per year
2017–2026
42
58
A content-based recommendation algorithm for learning resources
Jiangbo Shu, Xiaoxuan Shen, Hai Liu et al. · Multimedia Systems · 2017 · 267 citations
Felipe Leite da Silva, Bruna Kin Slodkowski, Kétia Kellen Araújo da Silva et al. · Education and Information Technologies · 2022 · 134 citations · Full text
1–5 of 58
196
Universidade Federal do Rio Grande do Sul, Brazil
2 publications · 36 citations
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2
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2
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Universidade Federal do Rio Grande do Sul, Brazil
2 publications · 36 citations
2
h-index
2
h-index
1–5 of 196
108
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
3 h-index
10 publications
658 citations
University of Utah
Salt Lake City, United States
2 h-index
6 publications
96 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
90 citations

The University of Queensland
Brisbane, Australia
2 h-index
4 publications
231 citations

Southeast University
Nanjing, China
2 h-index
5 publications
184 citations
Universidad Técnica Particular de Loja
Loja, Ecuador
2 h-index
5 publications
103 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
72 citations

Beijing Union University
Beijing, China
1 h-index
2 publications
50 citations
1–8 of 108
2 publications · 29 citations
2
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ILE · 2 publications · 63 citations
2
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2 publications · 108 citations
2
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2 publications · 43 citations
2
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2 publications · 46 citations
2
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