Artificial Intelligence in teaching creative writing: A systematic review in L1 and additional languages learning contexts
DOI:
https://doi.org/10.30827/portalin.vi46.36819Keywords:
Artificial Intelligence, Creative Writing, Language Learning, Large Language Models, WritingAbstract
The emergence of Artificial Intelligence (AI), particularly generative models, has profoundly impacted language education, creating a research gap concerning its application in creative writing. This systematic review follows the PRISMA 2020 guidelines to analyse 21 experimental or quasi-experimental studies published between 2020 and 2025, exploring the use of AI in teaching creative writing in both first language (L1) and additional language (AL) contexts. The findings show a nascent but rapidly expanding field, with 76% of included studies published in 2024 or 2025. Research is primarily conducted in higher education, and commercial Large Language Models (LLMs) like ChatGPT are the most frequently used tools. Creative writing tasks overwhelmingly centre on short stories, particularly in L2 settings. AI integration mostly occurs in the pre-writing (idea generation) and drafting (feedback/refinement) phases. Students generally perceive AI positively, reporting increased creativity, particularly through image generation, and enhanced motivation and engagement. AI co-creation is linked to improvements in textual quality for less proficient learners, such as better logical structure and grammatical accuracy. This review highlights the potential of AI as a co-creation tool in the creative writing classroom.
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Copyright (c) 2026 Antonio Acosta Sánchez, Fernando Jesús Trujillo Sáez, Blasina Cantizano Márquez (Author)

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