Instructional Path Optimization

Instructional Path Optimization is a computational framework that systematically tailors educational content sequences to individual learners by dynamically aligning pedagogical objectives with learner-specific cognitive, affective, and performance states to maximize learning efficiency and outcomes.

13

Publications

351

Citations

26

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

26

  1. EY
    Edmund Y. Lam

    University of Hong Kong, Hong Kong SAR China

    2 publications · 54 citations

    2

    h-index

  2. SF
    Sheldon Fung

    University of Hong Kong, Hong Kong SAR China

    2 publications · 54 citations

    2

    h-index

  3. VT
    Vincent Tam

    University of Hong Kong, Hong Kong SAR China

    2 publications · 54 citations

    2

    h-index

  4. RE
    R Elakkiya

    SASTRA University, India

    1 publications · 75 citations

    1

    h-index

  5. SB
    Samir Bennani

    Mohammed V University, Morocco

    1 publications · 15 citations

    1

    h-index

1–5 of 26

Venues

  1. Journal of Computers in Education

    JCE · 1 publications · 32 citations

    1

    h-index

  2. 1

    h-index

  3. Computers & Electrical Engineering

    1 publications · 75 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Mathematical Psychology

    1 publications · 20 citations

    1

    h-index

1–5