Lesson Recommendation Systems

Lesson Recommendation Systems is a computational framework that personalizes educational content delivery by selectively suggesting instructional lessons to learners based on individual learning behaviors, preferences, and contextual data within structured learning environments.

51

Publications

1.5K

Citations

180

Authors

74

Institutions

Publications per year

2017–2026

21

Authors

180

  1. MR
    Mimi Recker

    Utah State University, United States

    2 publications · 115 citations

    2

    h-index

  2. SS
    Stylianos Sergis

    University of Piraeus, Greece

    2 publications · 61 citations

    2

    h-index

  3. EP
    Eric Poitras

    McGill University, Canada

    2 publications · 32 citations

    2

    h-index

  4. DG
    Demetrios G. Sampson

    University of Piraeus, Greece

    2 publications · 61 citations

    2

    h-index

  5. AF
    Abdolali Faraji

    Amirkabir University of Technology, Iran

    1 publications · 19 citations

    1

    h-index

1–5 of 180

Venues

  1. IEEE Transactions on Learning Technologies

    3 publications · 75 citations

    3

    h-index

  2. Education and Information Technologies

    2 publications · 36 citations

    2

    h-index

  3. New Review of Hypermedia and Multimedia

    2 publications · 62 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 57 citations

    2

    h-index

  5. IEEE Transactions on Education

    1 publications · 50 citations

    1

    h-index

1–5