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
Parents
238
Chieh‐Yih Wan, Shane B. Eisenman, Andrew T. Campbell · 2003 · 896 citations
Elena L. Glassman, Jeremy Scott, Rishabh Singh et al. · ACM Transactions on Computer-Human Interaction · 2015 · 170 citations
1–5 of 238
643
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274
Virginia Tech
Blacksburg, United States
7 h-index
27 publications
877 citations
Università della Svizzera italiana
Lugano, Switzerland
6 h-index
6 publications
465 citations
Grand Valley State University
Allendale, United States
5 h-index
6 publications
205 citations

University of Leeds
Leeds, United Kingdom
5 h-index
5 publications
315 citations
James Madison University
Harrisonburg, United States
4 h-index
7 publications
237 citations
University of California, Berkeley
Berkeley, United States
3 h-index
7 publications
237 citations
Indiana University Bloomington
Bloomington, United States
3 h-index
6 publications
1.2K citations
Auburn University
Auburn, United States
3 h-index
9 publications
237 citations
1–8 of 274
JSE · 6 publications · 162 citations
6
h-index
TISE · 4 publications · 88 citations
4
h-index
3 publications · 176 citations
3
h-index
ENTCS · 3 publications · 67 citations
3
h-index
3 publications · 77 citations
3
h-index
1–5