Data Structures Education

Data Structures Education is a subfield of Computer Science Education that specifically focuses on the teaching and learning of abstract data types, their organizational principles, and algorithmic manipulations, distinguished by its emphasis on structuring and managing data efficiently in computational problem solving.

57

Publications

1.5K

Citations

113

Authors

64

Institutions

Publications per year

2017–2026

10

Authors

113

  1. BB
    Briana B. Morrison

    Georgia Institute of Technology, United States

    4 publications · 125 citations

    4

    h-index

  2. JT
    Josh Tenenberg

    University of Washington Tacoma, United States

    3 publications · 105 citations

    3

    h-index

  3. IB
    Ilona Box

    University of Technology Sydney, Australia

    2 publications · 82 citations

    2

    h-index

  4. RM
    Robert McCartney

    University of Connecticut, United States

    2 publications · 43 citations

    2

    h-index

  5. KS
    Kate Sanders

    Rhode Island College, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 113

Venues

  1. ACM SIGCSE Bulletin

    9 publications · 253 citations

    9

    h-index

  2. 2

    h-index

  3. Journal of computing sciences in colleges

    1 publications · 34 citations

    1

    h-index

  4. Choice Reviews Online

    CRO · 1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5