Adaptive Tutoring Models

Adaptive Tutoring Models is a computational framework within learner modeling that dynamically personalizes instructional strategies and content delivery based on continuous analysis of an individual learner’s performance,认知 state, and learning trajectory.

181

Publications

8.3K

Citations

517

Authors

188

Institutions

Publications per year

2017–2026

67

Authors

517

  1. RA
    Robert A. Sottilare

    DEVCOM Army Research Laboratory, United States

    8 publications · 223 citations

    8

    h-index

  2. MV
    Maria Virvou

    University of Piraeus, Greece

    8 publications · 425 citations

    8

    h-index

  3. CT
    Christos Troussas

    University of West Attica, Greece

    5 publications · 163 citations

    5

    h-index

  4. AK
    Akrivi Krouska

    University of West Attica, Greece

    4 publications · 135 citations

    4

    h-index

  5. EB
    Emma Brunskill

    Carnegie Mellon University, United States

    4 publications · 226 citations

    4

    h-index

1–5 of 517

Venues

  1. 8

    h-index

  2. Computers & Education

    5 publications · 363 citations

    5

    h-index

  3. Education and Information Technologies

    4 publications · 229 citations

    4

    h-index

  4. IEEE Transactions on Learning Technologies

    4 publications · 149 citations

    4

    h-index

  5. User Modeling and User-Adapted Interaction

    4 publications · 191 citations

    4

    h-index

1–5