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

Authors

232

  1. CH
    Changqin Huang

    South China Normal University, China

    2 publications · 256 citations

    2

    h-index

  2. AH
    Amir Hossein Nabizadeh

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

    2 publications · 223 citations

    2

    h-index

  3. JP
    José Paulo Leal

    Universidade do Porto, Portugal

    2 publications · 223 citations

    2

    h-index

  4. AS
    Ayşe Saliha Sunar

    University of Southampton, United Kingdom

    1 publications · 43 citations

    1

    h-index

  5. SA
    Samina Amin

    Kohat University of Science and Technology, Pakistan

    1 publications · 107 citations

    1

    h-index

1–5 of 232

Venues

  1. Procedia Computer Science

    3 publications · 72 citations

    3

    h-index

  2. Interactive Learning Environments

    ILE · 3 publications · 98 citations

    3

    h-index

  3. Information Sciences

    3 publications · 396 citations

    3

    h-index

  4. Knowledge-Based Systems

    2 publications · 284 citations

    2

    h-index

  5. Applied Sciences

    2 publications · 96 citations

    2

    h-index

1–5