Adaptive Learning Evaluation

Adaptive Learning Evaluation is a systematic assessment framework that measures the effectiveness, personalization accuracy, and pedagogical impact of adaptive learning systems by analyzing their dynamic responsiveness to individual learners’ cognitive, behavioral, and performance-based data in real time.

76

Publications

2.8K

Citations

202

Authors

111

Institutions

Publications per year

2017–2026

29

Authors

202

  1. RH
    Robert Hendley

    University of Birmingham, United Kingdom

    2 publications · 38 citations

    2

    h-index

  2. CM
    Catherine Marinagi

    Technological Educational Institute of Athens, Greece

    2 publications · 36 citations

    2

    h-index

  3. SB
    Scott Bartholomew

    Purdue University West Lafayette, United States

    2 publications · 38 citations

    2

    h-index

  4. ND
    N. Dwight Barnette

    Virginia Tech, United States

    2 publications · 51 citations

    2

    h-index

  5. PN
    Prema Nedungadi

    Amrita Vishwa Vidyapeetham, India

    2 publications · 32 citations

    2

    h-index

1–5 of 202

Venues

  1. 2

    h-index

  2. Computers & Education

    2 publications · 246 citations

    2

    h-index

  3. British Journal of Educational Technology

    BJET · 2 publications · 115 citations

    2

    h-index

  4. Sustainability

    1 publications · 42 citations

    1

    h-index

  5. 1

    h-index

1–5