Personalized Learning Path Generation

Personalized Learning Path Generation is a computational framework that dynamically constructs individualized sequences of learning activities by integrating learner-specific characteristics, performance data, and domain knowledge to optimize educational outcomes within adaptive learning environments.

112

Publications

4.6K

Citations

345

Authors

151

Institutions

Publications per year

2017–2026

55

Authors

345

  1. CC
    Chih‐Ming Chen

    National Chengchi University, Taiwan

    4 publications · 588 citations

    4

    h-index

  2. MG
    Matteo Gaeta

    University of Salerno, Italy

    4 publications · 186 citations

    4

    h-index

  3. MM
    Michele Malgeri

    University of Catania, Italy

    3 publications · 55 citations

    3

    h-index

  4. VC
    Vincenza Carchiolo

    University of Catania, Italy

    3 publications · 55 citations

    3

    h-index

  5. VL
    Vincenzo Loia

    University of Salerno, Italy

    3 publications · 137 citations

    3

    h-index

1–5 of 345

Venues

  1. Procedia Computer Science

    4 publications · 198 citations

    4

    h-index

  2. Computers & Education

    4 publications · 905 citations

    4

    h-index

  3. 4

    h-index

  4. Education and Information Technologies

    3 publications · 163 citations

    3

    h-index

  5. Applied Sciences

    2 publications · 116 citations

    2

    h-index

1–5