Computer Science Literacy

Computer Science Literacy is a systematic understanding of computational principles and practices, including the ability to comprehend, analyze, design, and apply algorithms, data structures, and programming constructs to solve problems, thereby distinguishing it from general digital competence by its emphasis on computational thinking and the theoretical foundations of computing.

1.5K

Publications

83.2K

Citations

3.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

546

Authors

3.3K

  1. MG
    Mark Guzdial

    Georgia Institute of Technology, United States

    16 publications · 1.1K citations

    13

    h-index

  2. TB
    Tim Bell

    University of Canterbury, New Zealand

    13 publications · 732 citations

    12

    h-index

  3. AY
    Aman Yadav

    Michigan State University, United States

    10 publications · 2.7K citations

    11

    h-index

  4. AR
    Alexander Repenning

    University of Colorado Boulder, United States

    10 publications · 816 citations

    10

    h-index

  5. YB
    Yasmin B. Kafai

    University of Pennsylvania, United States

    9 publications · 628 citations

    10

    h-index

1–5 of 3.3K

Venues

  1. Communications of the ACM

    50 publications · 3.2K citations

    29

    h-index

  2. Computers & Education

    29 publications · 3.4K citations

    24

    h-index

  3. ACM SIGCSE Bulletin

    61 publications · 1.7K citations

    22

    h-index

  4. Education and Information Technologies

    19 publications · 1.7K citations

    19

    h-index

  5. ACM Transactions on Computing Education

    TOCE · 18 publications · 2.1K citations

    16

    h-index

1–5