Personalized Learning Recommendation
Personalized Learning Recommendation is an adaptive instructional strategy within intelligent tutoring system analytics that generates individualized learning pathways by analyzing learner-specific data to recommend tailored content, activities, or resources according to the learner’s cognitive, behavioral, and affective characteristics.
400
Publications
17.6K
Citations
1.1K
Authors
456
Institutions
Publications per year
2017–2026
234
400
Anna Y.Q. Huang, Owen H.T. Lu, Stephen J.H. Yang · Computers & Education · 2022 · 530 citations
Building a recommender agent for e-learning systems
2003 · 388 citations
1–5 of 400
1.1K
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456
National Cheng Kung University
Tainan City, Taiwan
6 h-index
18 publications
723 citations

Tarbiat Modares University
Tehran, Iran
5 h-index
8 publications
459 citations

Open University of the Netherlands
Heerlen, The Netherlands
5 h-index
22 publications
1.4K citations

Mohammed V University
Rabat, Morocco
5 h-index
13 publications
269 citations

Universidad Nacional de Educación a Distancia
Madrid, Spain
4 h-index
6 publications
272 citations

University of Novi Sad
Novi Sad, Serbia
4 h-index
10 publications
952 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
154 citations
University of Miami
Coral Gables, United States
4 h-index
4 publications
456 citations
1–8 of 456
11 publications · 292 citations
11
h-index
10 publications · 497 citations
10
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8 publications · 970 citations
8
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8 publications · 467 citations
8
h-index
7 publications · 239 citations
7
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1–5