Mobile Learning Recommendation

Mobile Learning Recommendation is a specialized form of educational recommender system that delivers personalized learning resources and pathways to learners through mobile devices, distinguished by its adaptation to mobile-specific constraints and contextual factors such as location, connectivity, and user mobility.

56

Publications

3.1K

Citations

159

Authors

71

Institutions

Publications per year

2017–2026

24

Authors

159

  1. CC
    Chih‐Ming Chen

    National Chengchi University, Taiwan

    4 publications · 714 citations

    4

    h-index

  2. HO
    Hiroaki Ogata

    Tokushima University, Japan

    4 publications · 94 citations

    4

    h-index

  3. CY
    Chengjiu Yin

    Kyushu University, Japan

    2 publications · 33 citations

    2

    h-index

  4. MS
    Mohammad Shorfuzzaman

    Taif University, Saudi Arabia

    1 publications · 144 citations

    1

    h-index

  5. HL
    Hyunbin Loh

    Hanyang University, South Korea

    1 publications · 15 citations

    1

    h-index

1–5 of 159

Venues

  1. Education and Information Technologies

    3 publications · 247 citations

    3

    h-index

  2. Procedia Computer Science

    2 publications · 153 citations

    2

    h-index

  3. Computers & Education

    2 publications · 747 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Computing in Higher Education

    1 publications · 41 citations

    1

    h-index

1–5