Data-driven Supervision

Data-Driven Supervision is an instructional supervision approach that belongs to the broader category of evidence-based educational practices, distinguished by its systematic use of quantitative and qualitative data to inform, guide, and evaluate supervisory decisions and teacher development initiatives.

27

Publications

1.1K

Citations

79

Authors

48

Institutions

Publications per year

2017–2026

14

Authors

79

  1. FQ
    Fang Qin

    Nanjing University of Information Science and Technology, China

    1 publications · 14 citations

    1

    h-index

  2. LE
    Loviah E. Aldinger

    University of Toledo, United States

    1 publications · 25 citations

    1

    h-index

  3. GT
    Goodluck Tesha

    U.S. President's Malaria Initiative, United States

    1 publications · 30 citations

    1

    h-index

  4. TM
    Troy Martin

    U.S. President's Malaria Initiative, United States

    1 publications · 30 citations

    1

    h-index

  5. ZR
    Zeyu Ren

    University of Leicester, United Kingdom

    1 publications · 154 citations

    1

    h-index

1–5 of 79

Venues

  1. IEEE Transactions on Medical Imaging

    2 publications · 130 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 84 citations

    2

    h-index

  3. Professional School Counseling

    2 publications · 34 citations

    2

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 53 citations

    1

    h-index

  5. Dialnet (Universidad de la Rioja)

    Repository · 1 publications · 23 citations

    1

    h-index

1–5