Adaptive Language Learning

Adaptive Language Learning is a mobile-assisted language learning framework that dynamically personalizes instructional content and learning pathways based on individual learners’ performance, preferences, and contextual factors through continuous assessment and data-driven adjustments.

103

Publications

5.7K

Citations

282

Authors

129

Institutions

Publications per year

2017–2026

44

Variants

Adaptive CallAdaptive Computer-assisted Language Learning

Authors

282

  1. SR
    Salim Roukos

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 190 citations

    4

    h-index

  2. MV
    Maria Virvou

    University of Piraeus, Greece

    3 publications · 131 citations

    3

    h-index

  3. RL
    R. L. Mercer

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 133 citations

    3

    h-index

  4. VD
    V. Della Pietra

    Harvard University, United States

    2 publications · 108 citations

    2

    h-index

  5. SR
    Sebastian Ruder

    Google (United States), United States

    2 publications · 95 citations

    2

    h-index

1–5 of 282

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 178 citations

    5

    h-index

  2. Modern Language Journal

    MLJ · 3 publications · 1K citations

    3

    h-index

  3. Expert Systems with Applications

    3 publications · 153 citations

    3

    h-index

  4. IEEE Access

    2 publications · 30 citations

    2

    h-index

  5. Työväentutkimus Vuosikirja

    2 publications · 38 citations

    2

    h-index

1–5