<record>
  <header>
    <identifier>oai:eurokd.com:article/2150</identifier>
    <datestamp>2026-10-14</datestamp>
  </header>
  <metadata>
    <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
      <dc:title>AI-Driven Writing Assistance in a Flipped Classroom Model: A Pedagogical Approach to Enhancing Academic Writing and Critical Thinking in EFL Learners</dc:title>
      <dc:relation>Volume 56</dc:relation>
      <dc:creator>Dodi Mulyadi</dc:creator>
      <dc:creator>Adib Jasni Kharisma</dc:creator>
      <dc:creator>Yenni Hasnah</dc:creator>
      <dc:creator>Pirman Ginting</dc:creator>
      <dc:subject>Academic Writing</dc:subject>
      <dc:subject>Critical Thinking</dc:subject>
      <dc:subject>AI-Driven Writing Assistance</dc:subject>
      <dc:subject>Flipped Classroom Model</dc:subject>
      <dc:description>&lt;p style="text-align: justify;"&gt;&lt;span lang="EN-GB" style="font-size: 12pt; font-family: 'Cambria', serif; color: black;"&gt;This study explores the AI-based flipped model to enhance academic writing proficiency and critical thinking among EFL learners. Employing a mixed method through a one-group pretest-posttest design, the study combined quantitative assessment using the IELTS Academic Writing Task 2 rubric and Facione's Critical Thinking framework with qualitative data drawn from open-ended post-intervention questionnaires. Descriptive statistics showed that the students' writing skills advanced from a pre-test mean of 4.75 to a post-test mean of 6.17, which stand for an average increase of 1.42 points (29.8%). Meanwhile, critical thinking scores increased from a mean of 42.87 to 68.14 with an average increase of 25.27 points (58.9%). The Wilcoxon signed-rank test further confirmed substantial rises for both outcomes (writing: Z = -5.163, p &amp;lt; .001; critical thinking: Z= -5.107), with the effect sizes (writing: r = .873, rrb = 1.000; critical thinking: r = .851, rrb = .976). Qualitative findings corroborated this trend, denoting significant improvements in writing organization, argument construction, evidence-based argumentation, and source evaluation. However, challenges such as over-reliance on AI output and difficulties related to adapting to self-paced learning were also observed. Implications for pedagogical design were highlighted, implying that AI-integrated flipped learning supported the teaching of writing and critical thinking skills.&lt;/span&gt;&lt;/p&gt;</dc:description>
      <dc:publisher>Language Teaching Research Quarterly</dc:publisher>
      <dc:date>2026-06-08</dc:date>
      <dc:type>Text</dc:type>
      <dc:identifier>https://api.eurokd.com/Uploads/Article/2150/ltrq.2026.56.07.pdf</dc:identifier>
      <dc:identifier>https://doi.org/10.32038/ltrq.2026.56.07</dc:identifier>
      <dc:language>en</dc:language>
      <dc:coverage>Pages 132–154</dc:coverage>
    </oai_dc:dc>
  </metadata>
</record>