Learning Path Analysis

Learning Path Analysis is a methodological framework within educational data mining that identifies, characterizes, and evaluates the sequences of learning activities or interactions undertaken by learners to reveal patterns indicative of effective or ineffective progression toward learning outcomes.

243

Publications

9.7K

Citations

628

Authors

287

Institutions

Publications per year

2017–2026

109

Authors

628

  1. EO
    Elaine Oliveira

    Universidade Federal do Amazonas, Brazil

    3 publications · 68 citations

    3

    h-index

  2. EY
    Edmund Y. Lam

    University of Hong Kong, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  3. SF
    Sheldon Fung

    University of Hong Kong, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  4. VT
    Vincent Tam

    University of Hong Kong, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  5. HO
    Hiroaki Ogata

    Tokushima University, Japan

    2 publications · 86 citations

    2

    h-index

1–5 of 628

Venues

  1. Sustainability

    2 publications · 47 citations

    5

    h-index

  2. Education and Information Technologies

    5 publications · 179 citations

    5

    h-index

  3. Educational Data Mining

    Conference · 3 publications · 88 citations

    4

    h-index

  4. IEEE Access

    3 publications · 75 citations

    4

    h-index

  5. Procedia Computer Science

    4 publications · 153 citations

    4

    h-index

1–5