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Can GenAI help undergraduate students become independent writers? An intervention study on its effects on writing motivation, feedback literacy, and self-regulated learning strategies

  • Qi Lu
  • , Yuan Yao
  • , Longhai Xiao
  • , Xinhua Zhu
  • , Hongbiao Yin (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This mixed-methods study adopts a longitudinal perspective to investigate whether and how GenAI-supported feedback practice influences students’ writing motivation, feedback literacy, and self-regulated learning (SRL) strategy use, three aspects essential for developing as independent writers. Participants were 61 Chinese undergraduates enrolled in an academic writing program. Quantitative and qualitative findings revealed a differentiated pattern of change across the three domains: writing interest increased, while self-efficacy showed only slight gains; feedback literacy improved in appreciating feedback, managing affect, and taking action, but showed limited improvement in acknowledging feedback sources and making judgments; and SRL strategy use improved in text-generating and revising, with modest gains in planning but a slight decline in self-monitoring. Together, these findings provide nuanced insights into how GenAI-mediated feedback settings can both support and constrain students’ development as independent writers, highlighting the need for pedagogical scaffolding and ethical guidance.
Original languageEnglish
JournalEducational Psychology
DOIs
Publication statusPublished - 7 May 2026

Keywords

  • Generative artificial intelligence
  • writing motivation
  • feedback literacy
  • self-regulated learning strategy use

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