Computer-adaptive Vocabulary Testing

Computer-Adaptive Vocabulary Testing is a systematic assessment method that dynamically selects vocabulary items in response to a test-taker's performance, thereby precisely calibrating item difficulty to the individual's ability level through algorithmic item response theory.

20

Publications

1.7K

Citations

44

Authors

27

Institutions

Publications per year

2017–2026

4

Variants

Computerized Adaptive Vocabulary Testing

Authors

44

  1. WP
    Walter P. Vispoel

    University of Iowa, United States

    5 publications · 219 citations

    5

    h-index

  2. BL
    Batia Laufer

    University of Haifa, Israel

    3 publications · 1.1K citations

    3

    h-index

  3. JR
    Javier Revuelta

    Universidad Autónoma de Madrid, Spain

    2 publications · 37 citations

    2

    h-index

  4. PS
    Philip S. Dale

    University of New Mexico, United States

    2 publications · 42 citations

    2

    h-index

  5. JO
    Julio Olea

    Universidad Autónoma de Madrid, Spain

    2 publications · 37 citations

    2

    h-index

1–5 of 44

Venues

  1. Journal of Educational Measurement

    3 publications · 125 citations

    3

    h-index

  2. Language Testing

    2 publications · 387 citations

    2

    h-index

  3. Educational and Psychological Measurement

    2 publications · 32 citations

    2

    h-index

  4. Journal of Speech Language and Hearing Research

    JSLHR · 2 publications · 42 citations

    2

    h-index

  5. Language Learning

    1 publications · 664 citations

    1

    h-index

1–5