Computer-adaptive Language Testing

Computer-Adaptive Language Testing is a form of language assessment that dynamically selects test items in real time based on a test-taker's evolving proficiency level, using algorithms to optimize measurement precision and efficiency.

35

Publications

1.7K

Citations

69

Authors

37

Institutions

Publications per year

2017–2026

6

Variants

Computerized Adaptive Language Testing

Authors

69

  1. WP
    Walter P. Vispoel

    University of Iowa, United States

    2 publications · 100 citations

    2

    h-index

  2. JM
    John M. Norris

    University of Hawaiʻi at Mānoa, United States

    2 publications · 40 citations

    2

    h-index

  3. PD
    Patricia Dunkel

    Pennsylvania State University, United States

    2 publications · 199 citations

    2

    h-index

  4. HS
    Harold S. Madsen

    Brigham Young University, United States

    2 publications · 43 citations

    2

    h-index

  5. RF
    Reinhold Freudenstein

    Université Libre de Bruxelles, Belgium

    1 publications · 32 citations

    1

    h-index

1–5 of 69

Venues

  1. Language learning & technology

    LLT · 5 publications · 331 citations

    5

    h-index

  2. System

    3 publications · 76 citations

    3

    h-index

  3. CALICO Journal

    3 publications · 68 citations

    3

    h-index

  4. Modern Language Journal

    MLJ · 3 publications · 231 citations

    3

    h-index

  5. Journal of Educational Measurement

    2 publications · 100 citations

    2

    h-index

1–5