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Effects of AI Writing Platform Based Reflective Writing Activities on Learners’ Writing Self­Efficacy, Writing Performance, and Self­Reflection Attitude

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2026, 12(2), pp.23~32
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : January 31, 2026
  • Accepted : April 7, 2026
  • Published : April 30, 2026

Park, Hye Rim 1

1배화여자대학교

Accredited

ABSTRACT

This study aimed to examine the effects of reflective writing activities utilizing an AI writing platform on learners' writing self-efficacy, writing performance, and self-reflection attitudes. Employing a mixed-method approach, the research statistically verified pre- and post-test changes in the three variables among students enrolled in "Writing and Communication" at A University. Additionally, learners’ writing experiences were explored in depth through the analysis of reflection journals. Participants initially drafted responses to 10 writing prompts focused on self-understanding and subsequently engaged in iterative revisions incorporating AI-generated feedback. The results indicated statistically significant improvements in all three variables following the intervention. Specifically, AI feedback enabled learners to perceive writing as an achievable task, while criteria-based feedback enhanced writing quality and performance. Furthermore, iterative revisions focused on themes of self-understanding promoted personal reflection and strengthened learners’ self-reflective attitudes. This study is significant in that it provides empirical evidence to inform the integration of AI into future university writing curricula.

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