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Data · dataset · 2026

Xuehua Fu: BEYOND THE ESSAY: What happens when language learners compose with words, images, video and GenAI?

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<p dir="ltr">Against the digital and multimodal turn, this mixed-methods quasi-experimental study proposed a Generative AI-assisted process-multimodal genre (GenAI-P-MG) framework and examined its effects on digital multimodal composing (DMC) and linguistically oriented English writing.

Description

Fifty-five English-major undergraduates at a Chinese university participated in a 10-week intervention. Data included pre- and post-writing tests, video projects, composing-process screen recordings, video-stimulated recall interviews, and semi-structured interviews.

Findings showed that GenAI-P-MG-embedded writing instruction fostered more systematic preparation, global evaluation, and broader human-GenAI collaboration. The experimental group produced higher-quality DMC products overall and in four sub-dimensions, while developing stronger designer agency and greater audience, procedural, and task-complexity awareness. Effects on conventional writing were selective and dimension-specific, with advantages in syntactic complexity, comprehensibility, and qualitative developmental experiences, but weaker, less favourable, or conditional effects in other dimensions.

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The study offers theoretical, methodological, and pedagogical implications for integrating GenAI-assisted DMC into EFL writing classrooms.</p>

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Inferred from text
Image 65% · Video 75%
Provenance · 1 source records, 11 field assertions
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