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Indonesian Journal of Pedagogy and Teacher Education
Published by CV Media Inti Teknologi
ISSN : -     EISSN : 30258359     DOI : https://doi.org/10.58723/ijopate.v2i1.127
Core Subject : Education,
Education
Indonesian Journal of Pedagogy and Teacher Education. It is devoted to the publishing of original research articles and review articles by invited experts and the innovation in pedagogy concept and practice for teacher education as well as teacher professional development program but not limited to the method and practice of teaching devoted to improving the quality of education locally and globally.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 41 Documents
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AI in English Language Learning: Balancing Innovation, Opportunity, and Human Connection Siti Annisa Dahlan
Indonesian Journal of Pedagogy and Teacher Education Vol. 4 No. 1 (2026): Forthcoming Issue (April)
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijopate.v4i1.586

Abstract

Background: Artificial Intelligence (AI) has transformed English language learning through personalized instruction and real-time feedback. However, current literature shows a critical gap: studies focus either on technological capabilities or pedagogical problems in isolation, lacking frameworks that balance innovation with humanistic teaching principles. Aims: In order to investigate AI integration in English language learning, this systematic review will: (1) identify opportunities that AI presents; (2) analyze challenges and constraints; (3) develop a conceptual framework that strikes a balance between technological innovation and humanistic pedagogy; and (4) offer evidence-based recommendations for educators and policymakers.Methods: Thirty peer-reviewed publications from Web of Science, Scopus, ERIC, and Google Scholar were systematically reviewed between January 2023 and August 2025 in accordance with PRISMA principles. A modified CASP checklist was utilized for quality assessment. Humanistic Learning Theory and TPACK frameworks served as the basis for the analysis.Results: 73% of studies (n=22) found that accessibility and personalization improved writing accuracy and student motivation. But 50% (n=15) expressed worries about emotional engagement and ethical integrity. Problems included decreased personal connection, especially in collectivist societies (27%, n=8), algorithmic prejudice (17%, n=5), and plagiarism facilitation (30%, n=9). The four guiding concepts of the Innovation-Empathy Balance Model are educational intentionality, professional capacity building, ethical vigilance, and strategic complementarity.Conclusion: AI-enhanced English language instruction has a number of prospects, but it necessitates striking a balance between humanistic pedagogy and technology innovation. The Innovation-Empathy Balance Model emphasizes intentional deployment, teacher preparation, and preserving human connection in education, positioning AI as a strategic supplement to human-centered teaching.

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