Learning Analytics For Design

Learning Analytics for Design is a scholarly framework that systematically integrates data-driven insights from learner interactions into the iterative development and refinement of e-learning environments, distinguishing itself by prioritizing pedagogical design decisions informed by empirical evidence.

51

Publications

2.7K

Citations

145

Authors

67

Institutions

Publications per year

2017–2026

26

Authors

145

  1. RM
    Roberto Martínez‐Maldonado

    Monash University, Australia

    5 publications · 298 citations

    5

    h-index

  2. AP
    Abelardo Pardo

    University of South Australia, Australia

    4 publications · 263 citations

    4

    h-index

  3. MM
    Manolis Mavrikis

    University College London, United Kingdom

    3 publications · 114 citations

    3

    h-index

  4. MW
    Marcelo Worsley

    Stanford University, United States

    3 publications · 113 citations

    3

    h-index

  5. SD
    Shane Dawson

    University of South Australia, Australia

    3 publications · 262 citations

    3

    h-index

1–5 of 145

Venues

  1. Journal of Learning Analytics

    10 publications · 455 citations

    10

    h-index

  2. British Journal of Educational Technology

    BJET · 4 publications · 488 citations

    4

    h-index

  3. Journal of Computer Assisted Learning

    2 publications · 51 citations

    2

    h-index

  4. 2

    h-index

  5. TechTrends

    2 publications · 40 citations

    2

    h-index

1–5