Personalized Learning Path Recommendation
Personalized Learning Path Recommendation is a computational framework within educational recommender systems that generates individualized sequences of learning resources by adapting to a learner's prior knowledge, learning goals, and contextual preferences, thereby distinguishing itself from generic or static path recommendations through its dynamic personalization.
64
Publications
3.7K
Citations
232
Authors
99
Institutions
Publications per year
2017–2026
48
64
Personalized learning full-path recommendation model based on LSTM neural networks
Yuwen Zhou, Changqin Huang, Qintai Hu et al. · Information Sciences · 2018 · 245 citations
1–5 of 64
232
2
h-index
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal
2 publications · 223 citations
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 232
99
Nanjing University of Posts and Telecommunications
Nanjing, China
2 h-index
10 publications
342 citations
South China Normal University
Guangzhou, China
2 h-index
7 publications
1.2K citations
Hebei University of Science and Technology
Shijiazhuang, China
2 h-index
6 publications
243 citations

Universidade do Porto
Porto, Portugal
2 h-index
4 publications
277 citations
Badji Mokhtar-Annaba University
Annaba, Algeria
2 h-index
5 publications
176 citations

Communication University of China
Beijing, China
2 h-index
6 publications
162 citations

National Chengchi University
Taipei, Taiwan
2 h-index
2 publications
658 citations
Mahatma Gandhi University
Kottayam, India
1 h-index
1 publications
25 citations
1–8 of 99
3 publications · 72 citations
3
h-index
ILE · 3 publications · 98 citations
3
h-index
3 publications · 396 citations
3
h-index
2 publications · 284 citations
2
h-index
2 publications · 96 citations
2
h-index
1–5