mlsanityData to 7 Oct 2026

Exploring AI-Generated Text in Student Writing: How Does AI Help?

arXiv 2304.02478 ↗First posted 10 Mar 2023cs.CL cs.AI cs.CYcited by 4

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Abstract (arXiv)

English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it remains unclear to what extent AI-generated text in these students' writing might lead to higher-quality writing. We explored 23 Hong Kong secondary school students' attempts to write stories comprising their own words and AI-generated text. Human experts scored the stories for dimensions of content, language and organization. We analyzed the basic organization and structure and syntactic complexity of the stories' AI-generated text and performed multiple linear regression and cluster analyses. The results show the number of human words and the number of AI-generated words contribute significantly to scores. Besides, students can be grouped into competent and less competent writers who use more AI-generated text or less AI-generated text compared to their peers. Comparisons of clusters reveal some benefit of AI-generated text in improving the quality of both high-scoring students' and low-scoring students' writing. The findings can inform pedagogical strategies to use AI-generated text for EFL students' writing and to address digital divides. This study contributes designs of NLG tools and writing activities to implement AI-generated text in schools.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 8 of its 63 references that are in the map. First posted on arXiv 10 Mar 2023.

Builds on

8 of 63 references.

References · 8

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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.