Personalized Mathematics Learning

Personalized Mathematics Learning is a pedagogical framework that adapts mathematical content, pacing, and instructional strategies to individual learners’ cognitive profiles, prior knowledge, and learning trajectories through data-driven or algorithmic methods.

64

Publications

2.8K

Citations

146

Authors

83

Institutions

Publications per year

2017–2026

34

Authors

146

  1. CW
    Candace Walkington

    Southern Methodist University, United States

    8 publications · 705 citations

    8

    h-index

  2. SM
    Steven M. Ross

    University of Memphis, United States

    4 publications · 192 citations

    4

    h-index

  3. ML
    Matthew L. Bernacki

    University of Nevada, Las Vegas, United States

    3 publications · 274 citations

    3

    h-index

  4. LL
    Linlin Li

    Wested, United States

    2 publications · 124 citations

    2

    h-index

  5. GH
    Gwo‐Jen Hwang

    National Taiwan University of Science and Technology, Taiwan

    2 publications · 437 citations

    2

    h-index

1–5 of 146

Venues

  1. Journal of Educational Psychology

    4 publications · 625 citations

    4

    h-index

  2. Mathematics

    3 publications · 405 citations

    3

    h-index

  3. Journal of Computer Assisted Learning

    1 publications · 52 citations

    2

    h-index

  4. Education Sciences

    1 publications · 32 citations

    2

    h-index

  5. ZDM

    2 publications · 124 citations

    2

    h-index

1–5