Personalized Learning Path Modeling
Personalized Learning Path Modeling is a computational framework within knowledge tracing that generates individualized sequences of learning activities by dynamically modeling a learner’s evolving knowledge state and adapting subsequent content recommendations to optimize acquisition and retention.
40
Publications
2.8K
Citations
154
Authors
72
Institutions
Publications per year
2017–2026
25
Parents
40
1–5 of 40
154
2
h-index
1
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 50 citations
1
h-index
1
h-index
1
h-index
1–5 of 154
72

National Chengchi University
Taipei, Taiwan
3 h-index
3 publications
706 citations

National Taiwan University
Taipei, Taiwan
2 h-index
7 publications
595 citations

University of Salerno
Fisciano, Italy
2 h-index
5 publications
188 citations
Hebei University of Science and Technology
Shijiazhuang, China
2 h-index
6 publications
243 citations

Farmingdale State College
Farmingdale, United States
1 h-index
1 publications
21 citations

Shanghai Ocean University
Shanghai, China
1 h-index
6 publications
102 citations
Indian Institute of Teacher Education
Gandhinagar, India
1 h-index
1 publications
250 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
2 publications
98 citations
1–8 of 72
3 publications · 860 citations
3
h-index
2 publications · 139 citations
2
h-index
2 publications · 105 citations
2
h-index
2 publications · 284 citations
2
h-index
2 publications · 60 citations
2
h-index
1–5