Data Visualization For Instruction

Data Visualization for Instruction is a systematic method for representing educational data through graphical means to facilitate pedagogical decision-making by making patterns, trends, and outliers in student learning evident to educators.

238

Publications

9.1K

Citations

643

Authors

274

Institutions

Publications per year

2017–2026

85

Authors

643

  1. RM
    Riccardo Mazza

    Università della Svizzera italiana, Switzerland

    8 publications · 580 citations

    8

    h-index

  2. TL
    Tamara L. Shreiner

    Grand Valley State University, United States

    5 publications · 163 citations

    5

    h-index

  3. CA
    Clifford A. Shaffer

    Virginia Tech, United States

    5 publications · 158 citations

    5

    h-index

  4. VD
    Vania Dimitrova

    University of Leeds, United Kingdom

    5 publications · 315 citations

    5

    h-index

  5. TL
    Thomas L. Naps

    University of Wisconsin–Oshkosh, United States

    3 publications · 109 citations

    3

    h-index

1–5 of 643

Venues

  1. Journal of Statistics Education

    JSE · 6 publications · 162 citations

    6

    h-index

  2. Technology Innovations in Statistics Education

    TISE · 4 publications · 88 citations

    4

    h-index

  3. Computer-Aided Design and Applications

    3 publications · 176 citations

    3

    h-index

  4. Electronic Notes in Theoretical Computer Science

    ENTCS · 3 publications · 67 citations

    3

    h-index

  5. ACM SIGCSE Bulletin

    3 publications · 77 citations

    3

    h-index

1–5