Adaptive Learning Analytics

Adaptive Learning Analytics is an academic concept within educational data mining that refers to a systematic approach to collecting, analyzing, and interpreting longitudinal learner data in real time to dynamically adjust instructional strategies, personalizing learning experiences by identifying and responding to individual learners' cognitive and affective states.

153

Publications

11.7K

Citations

441

Authors

214

Institutions

Publications per year

2017–2026

113

Authors

441

  1. DG
    Dragan Gašević

    Monash University, Australia

    10 publications · 799 citations

    10

    h-index

  2. KV
    Katrien Verbert

    KU Leuven, Belgium

    4 publications · 242 citations

    4

    h-index

  3. MN
    Michail N. Giannakos

    Norwegian University of Science and Technology, Norway

    4 publications · 276 citations

    4

    h-index

  4. DI
    Dirk Ifenthaler

    University of Mannheim, Germany

    4 publications · 222 citations

    4

    h-index

  5. TD
    Tinne De Laet

    KU Leuven, Belgium

    4 publications · 242 citations

    4

    h-index

1–5 of 441

Venues

  1. Computers in Human Behavior

    9 publications · 944 citations

    9

    h-index

  2. Computers & Education

    8 publications · 900 citations

    8

    h-index

  3. British Journal of Educational Technology

    BJET · 6 publications · 229 citations

    6

    h-index

  4. Journal of Computing in Higher Education

    5 publications · 320 citations

    5

    h-index

  5. Technology Knowledge and Learning

    5 publications · 178 citations

    5

    h-index

1–5