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
Parents
77
Alex Barrett, Austin Pack · International Journal of Educational Technology in Higher Education · 2023 · 311 citations · Full text
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University of Pittsburgh
Pittsburgh, United States
5 h-index
13 publications
365 citations
University of Brighton
Brighton, United Kingdom
4 h-index
7 publications
284 citations
Brigham Young University
Provo, United States
2 h-index
2 publications
65 citations
Auburn University
Auburn, United States
2 h-index
20 publications
650 citations
University of Bari Aldo Moro
Bari, Italy
2 h-index
3 publications
70 citations
Université de Montréal
Montreal, Canada
2 h-index
4 publications
112 citations
Dhaka University of Engineering & Technology
Dhaka, Bangladesh
2 h-index
2 publications
1.1K citations

The University of Sydney
Sydney, Australia
2 h-index
6 publications
342 citations
1–8 of 76
Repository · 5 publications · 146 citations
5
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4 publications · 406 citations
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3 publications · 115 citations
3
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Repository · 3 publications · 186 citations
3
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BJET · 2 publications · 749 citations
2
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1–5