Behavioral Pattern Mining

Behavioral Pattern Mining is a data analysis technique within adaptive learning analytics that identifies recurring, meaningful sequences of learner actions in digital educational environments to infer underlying learning strategies or behaviors.

181

Publications

7.5K

Citations

506

Authors

243

Institutions

Publications per year

2017–2026

79

Authors

506

  1. JS
    John S. Kinnebrew

    Vanderbilt University, United States

    6 publications · 343 citations

    6

    h-index

  2. GB
    Gautam Biswas

    Vanderbilt University, United States

    6 publications · 343 citations

    6

    h-index

  3. HH
    Huei‐Tse Hou

    National Taiwan University of Science and Technology, Taiwan

    4 publications · 507 citations

    4

    h-index

  4. MM
    Md. Mamunur Rashid

    Federation University, Australia

    4 publications · 112 citations

    4

    h-index

  5. JK
    Joarder Kamruzzaman

    Federation University, Australia

    4 publications · 112 citations

    4

    h-index

1–5 of 506

Venues

  1. Expert Systems with Applications

    5 publications · 157 citations

    5

    h-index

  2. Interactive Learning Environments

    ILE · 5 publications · 195 citations

    5

    h-index

  3. Education and Information Technologies

    4 publications · 104 citations

    4

    h-index

  4. Computers in Human Behavior

    4 publications · 599 citations

    4

    h-index

  5. IEEE Access

    4 publications · 75 citations

    4

    h-index

1–5