Instructional Text Generation

Instructional Text Generation is an academic construct within procedural writing that refers to a methodological framework for systematically producing step-by-step instructional content by leveraging computational models, linguistic rules, or data-driven approaches to convey actionable guidance in a structured and comprehensible format.

77

Publications

5.3K

Citations

210

Authors

76

Institutions

Publications per year

2017–2026

33

Authors

210

  1. KV
    Keith Vander Linden

    University of Brighton, United Kingdom

    6 publications · 144 citations

    6

    h-index

  2. JD
    Johanna D. Moore

    University of Edinburgh, United Kingdom

    4 publications · 135 citations

    4

    h-index

  3. BD
    Barbara Di Eugenio

    University of Illinois Chicago, United States

    4 publications · 83 citations

    4

    h-index

  4. MP
    Massimo Paolucci

    University of Genoa, Italy

    3 publications · 73 citations

    3

    h-index

  5. BK
    Bruce K. Britton

    University of Georgia, United States

    3 publications · 367 citations

    3

    h-index

1–5 of 210

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 146 citations

    5

    h-index

  2. Journal of Educational Psychology

    4 publications · 406 citations

    4

    h-index

  3. Journal of Chemical Education

    3 publications · 115 citations

    3

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 186 citations

    3

    h-index

  5. British Journal of Educational Technology

    BJET · 2 publications · 749 citations

    2

    h-index

1–5