Educational Recommender Systems

Educational Recommender Systems is a type of software-based recommender system in artificial intelligence that, using educational data about learners and other stakeholders, automatically generates personalized recommendations of learning resources, activities, courses, or peers within educational settings to support and optimize teaching and learning processes.

1.2K

Publications

49.6K

Citations

3.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

697

Authors

3.2K

  1. HD
    Hendrik Drachsler

    Open University of the Netherlands, Netherlands

    14 publications · 1.4K citations

    14

    h-index

  2. NM
    Nikos Manouselis

    Agricultural University of Athens, Greece

    10 publications · 1K citations

    10

    h-index

  3. OC
    Olga C. Santos

    Universidad Nacional de Educación a Distancia, Spain

    10 publications · 347 citations

    10

    h-index

  4. ZN
    Zhendong Niu

    Beijing Institute of Technology, China

    9 publications · 1.2K citations

    9

    h-index

  5. CC
    Chih‐Ming Chen

    National Chengchi University, Taiwan

    9 publications · 1.5K citations

    9

    h-index

1–5 of 3.2K

Venues

  1. IEEE Access

    27 publications · 1.3K citations

    20

    h-index

  2. Procedia Computer Science

    28 publications · 1.4K citations

    20

    h-index

  3. Expert Systems with Applications

    21 publications · 1.5K citations

    19

    h-index

  4. Education and Information Technologies

    20 publications · 1.1K citations

    18

    h-index

  5. 17

    h-index

1–5