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        <full_title>International Journal of Education and Information Technologies</full_title>
        <issn media_type="electronic">2074-1316</issn>
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        <titles>
          <title>Grammarly: A Modern Ally in Language Teaching. From NLP Theory to Classroom Practice</title>
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        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Sofia</given_name>
            <surname>Tsakalidou</surname>
            <affiliations>
              <institution>
                <institution_name>Department Of German Language And Literature Aristotle University Of Thessaloniki Greece</institution_name>
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        <jats:abstract>
          <jats:p>While AI is often viewed as a threat to academic integrity, this paper proposes tools like Grammarly as sophisticated pedagogical allies bridging Natural Language Processing (NLP) theory and classroom practice. Based on a systematic review of 15 studies (2018–2025), the research introduces two implementable frameworks: the AI-Assisted Diagnostic Assessment model for efficient feedback and the 5-Step Structured Writing Protocol for student scaffolding. The analysis centers on the "5 Cs"—Coherence, Correctness, Clarity, Conciseness, and Consistency. The study argues that delegating mechanical corrections to automated systems enables educators to focus on higher-order skills, including critical thinking and authorial voice. This shifts the instructional dynamic toward a "trialogue" (Teacher, Student, AI), fostering a scaffolded partnership crucial for developing linguistic autonomy and fluency in both L1 and L2 contexts.
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        </jats:abstract>
        <publication_date media_type="print">
          <month>07</month>
          <day>09</day>
          <year>2026</year>
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          <month>07</month>
          <day>09</day>
          <year>2026</year>
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        <pages>
          <first_page>145</first_page>
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          <item_number item_number_type="article_number">15</item_number>
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          <doi>10.46300/9109.2026.20.15</doi>
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