Adaptive Learning

Adaptive Learning is an instructional approach within computer-assisted education that dynamically individualizes learning experiences by adjusting content, pacing, and pathways in response to real-time analysis of learner performance and needs.

5.8K

Publications

321.4K

Citations

13.1K

Authors

3.1K

Institutions

Publications per year

2017–2026

2.5K

Authors

13.1K

  1. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    42 publications · 6K citations

    28

    h-index

  2. MV
    Maria Virvou

    University of Piraeus, Greece

    29 publications · 967 citations

    20

    h-index

  3. AI
    Alexandra I. Cristea

    Durham University, United Kingdom

    33 publications · 998 citations

    18

    h-index

  4. KK
    Kinshuk Kinshuk

    Athabasca University, Canada

    32 publications · 1.4K citations

    18

    h-index

  5. SG
    Sabine Graf

    Athabasca University, Canada

    26 publications · 1K citations

    17

    h-index

1–5 of 13.1K

Venues

  1. Computers & Education

    70 publications · 7K citations

    48

    h-index

  2. arXiv (Cornell University)

    Repository · 168 publications · 7.7K citations

    42

    h-index

  3. Expert Systems with Applications

    51 publications · 3.6K citations

    33

    h-index

  4. British Journal of Educational Technology

    BJET · 39 publications · 2.7K citations

    30

    h-index

  5. IEEE Transactions on Learning Technologies

    39 publications · 2K citations

    29

    h-index

1–5