Analytics-driven Instruction

Analytics-Driven Instruction is an academic concept that denotes an instructional approach in which data analytics are systematically employed to inform, guide, and adapt teaching strategies and learning activities, distinguishing it from related pedagogical models by its foundational reliance on continuous learning data analysis for decision-making.

276

Publications

18.5K

Citations

694

Authors

330

Institutions

Publications per year

2017–2026

183

Authors

694

  1. DG
    Dragan Gašević

    Monash University, Australia

    12 publications · 2.4K citations

    11

    h-index

  2. SD
    Shane Dawson

    University of South Australia, Australia

    10 publications · 2K citations

    10

    h-index

  3. AF
    Alyssa Friend Wise

    Simon Fraser University, Canada

    6 publications · 692 citations

    6

    h-index

  4. LC
    Linda Corrin

    The University of Melbourne, Australia

    6 publications · 308 citations

    6

    h-index

  5. AP
    Abelardo Pardo

    University of South Australia, Australia

    5 publications · 828 citations

    5

    h-index

1–5 of 694

Venues

  1. Journal of Learning Analytics

    12 publications · 1.1K citations

    12

    h-index

  2. The Internet and Higher Education

    8 publications · 1.4K citations

    8

    h-index

  3. Computers in Human Behavior

    8 publications · 1.5K citations

    8

    h-index

  4. Technology Knowledge and Learning

    7 publications · 192 citations

    7

    h-index

  5. Marketing Education Review

    MER · 7 publications · 215 citations

    7

    h-index

1–5