Self-generating Texts
Self-Generating Texts is a procedural writing methodology that systematically produces textual content through algorithmic or rule-based mechanisms inherently embedded within the text generation process, distinguishing it from externally directed or manually authored approaches.
6
Publications
264
Citations
14
Authors
7
Institutions
Publications per year
2017–2026
4
Parents
6
Siu Cheung Kong, John Chi‐Kin Lee, Olson Tsang · Research and Practice in Technology Enhanced Learning · 2024 · 52 citations · Full text
Education, Instruction, Teaching +17
1–5 of 6
14
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1–5 of 14
7
North Carolina State University
Raleigh, United States
1 h-index
1 publications
33 citations
Escuela Superior Politecnica del Litoral
Guayaquil, Ecuador
1 h-index
1 publications
68 citations
Technical University of Applied Sciences Wildau
Wildau, Germany
1 h-index
1 publications
61 citations
Education University of Hong Kong
Tai Po, Hong Kong
1 h-index
3 publications
156 citations

University of Toronto
Toronto, Canada
1 h-index
2 publications
136 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
2 publications
122 citations
Maranatha Christian University
Bandung, Indonesia
1 h-index
1 publications
68 citations
1–7 of 7
1 publications · 33 citations
1
h-index
1 publications · 61 citations
1
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RPTEL · 1 publications · 52 citations
1
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RT · 1 publications · 32 citations
1
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1 publications · 18 citations
1
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1–5