Learning Path Personalization

Learning Path Personalization is a computational framework within personalized learning environments that dynamically structures and adapts the sequence, content, and instructional strategies of learning activities according to individual learners’ needs, preferences, prior knowledge, and performance outcomes.

179

Publications

6.4K

Citations

500

Authors

215

Institutions

Publications per year

2017–2026

107

Authors

500

  1. VC
    Vincenza Carchiolo

    University of Catania, Italy

    5 publications · 149 citations

    5

    h-index

  2. MM
    Michele Malgeri

    University of Catania, Italy

    5 publications · 149 citations

    5

    h-index

  3. AL
    Alessandro Longheu

    University of Catania, Italy

    5 publications · 149 citations

    5

    h-index

  4. CC
    Chih‐Ming Chen

    National Chengchi University, Taiwan

    4 publications · 588 citations

    4

    h-index

  5. AH
    Amir Hossein Nabizadeh

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    3 publications · 326 citations

    3

    h-index

1–5 of 500

Venues

  1. Applied Sciences

    5 publications · 241 citations

    5

    h-index

  2. 5

    h-index

  3. Education and Information Technologies

    3 publications · 278 citations

    4

    h-index

  4. Procedia Computer Science

    4 publications · 126 citations

    4

    h-index

  5. Interactive Learning Environments

    ILE · 3 publications · 95 citations

    4

    h-index

1–5