Adaptive Mobile Language Learning

Adaptive Mobile Language Learning is an adaptive language learning system that specifically leverages the portability, context-awareness, and personalized delivery capabilities of mobile technologies to dynamically adjust linguistic content and instructional strategies according to individual learner needs, behaviors, and environmental contexts.

25

Publications

1.2K

Citations

70

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

70

  1. MU
    Maria Uther

    Brunel University of London, United Kingdom

    2 publications · 59 citations

    2

    h-index

  2. PS
    Pushpendra Singh

    Indraprastha Institute of Information Technology Delhi, India

    2 publications · 59 citations

    2

    h-index

  3. VC
    Van Cong Pham

    VNU University of Science, Vietnam

    2 publications · 58 citations

    2

    h-index

  4. JU
    J. Uther

    The University of Sydney, Australia

    2 publications · 59 citations

    2

    h-index

  5. AH
    Abdel‐Rahman H. Tawil

    University of East London, United Kingdom

    1 publications · 18 citations

    1

    h-index

1–5 of 70

Venues

  1. IEEE Access

    2 publications · 30 citations

    2

    h-index

  2. Journal of Educational Computing Research

    1 publications · 25 citations

    1

    h-index

  3. 1

    h-index

  4. CALICO Journal

    1 publications · 26 citations

    1

    h-index

  5. Language learning & technology

    LLT · 1 publications · 178 citations

    1

    h-index

1–5