Adaptive Mastery Testing

Adaptive Mastery Testing is a mastery testing method that dynamically adjusts the selection and difficulty of test items based on an individual examinee’s ongoing performance to efficiently determine proficiency with minimal administered items.

11

Publications

734

Citations

23

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

23

  1. GG
    G. Gage Kingsbury

    Portland Public Schools, United States

    3 publications · 530 citations

    3

    h-index

  2. TW
    Theodore W. Frick

    Indiana University Bloomington, United States

    2 publications · 46 citations

    2

    h-index

  3. YI
    Yuan‐chin Ivan Chang

    Institute of Statistical Science, Academia Sinica, Taiwan

    2 publications · 28 citations

    2

    h-index

  4. DJ
    David J. Weiss

    University of Minnesota, United States

    2 publications · 520 citations

    2

    h-index

  5. LD
    Larry D. Gruppen

    University of Michigan, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 23

Venues

  1. Journal of Educational Computing Research

    2 publications · 46 citations

    2

    h-index

  2. Defense Technical Information Center (DTIC)

    Repository · 2 publications · 32 citations

    2

    h-index

  3. Journal of Educational Measurement

    1 publications · 498 citations

    1

    h-index

  4. Sequential Analysis

    1 publications · 17 citations

    1

    h-index

  5. Psychometrika

    1 publications · 11 citations

    1

    h-index

1–5