Automated Support Generation

Automated Support Generation is a computational method that systematically produces pedagogical, technical, or structural assistance within learning or organizational environments through algorithmic processes, distinguishing it from manually designed or human-provided support mechanisms.

32

Publications

1.8K

Citations

121

Authors

58

Institutions

Publications per year

2017–2026

14

Authors

121

  1. LD
    Leon Derczynski

    University of Sheffield, United Kingdom

    2 publications · 239 citations

    2

    h-index

  2. AZ
    Arkaitz Zubiaga

    Queen Mary University of London, United Kingdom

    2 publications · 239 citations

    2

    h-index

  3. GG
    Genevieve Gorrell

    University of Sheffield, United Kingdom

    2 publications · 239 citations

    2

    h-index

  4. EK
    Elena Kochkina

    University of Warwick, United Kingdom

    2 publications · 239 citations

    2

    h-index

  5. KB
    Kalina Bontcheva

    University of Sheffield, United Kingdom

    2 publications · 239 citations

    2

    h-index

1–5 of 121

Venues

  1. Rapid Prototyping Journal

    2 publications · 36 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 1 publications · 30 citations

    1

    h-index

  4. 1

    h-index

  5. University of Twente Research Information

    Repository · 1 publications · 29 citations

    1

    h-index

1–5