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Pedagogical Change in the Ai Era

Indonesian Efl Teachers' Voices and Contextual Constraint

Bibliographic Data

ID22193473
AuthorsRahmiati Rahmiati (0000-0003-1310-897X, Samudra University), Fiza Rauzika Al Tasa (Samudra University), Muhammad Arif Sanjaya (Samudra University), Evi Zulida (Samudra University), Noliza Hasrina (Samudra University), Irma Dewi Isda (Samudra University), Chairuddin Chairuddin (0009-0003-1518-2089, Samudra University)
Year2025
Volume9
Issue2
Pages890-902
Publication date2025-12-05
Open AccessYes
TypeARTICLE
VenueLANGUAGE LITERACY Journal of Linguistics Literature and Language Teaching (JOURNAL)
Journal identifiersISSN: 2580-8672 • E-ISSN: 2580-9962
PublisherUniversitas Islam Sumatera Utara (PUBLISHER)
DOI10.30743/ll.v1i1.12185
OpenAlexW7117576932
LanguageEN

This study examines how Indonesian English as Foreign Language (EFL) teachers perceive and negotiate pedagogical change arising from the integration of Artificial Intelligence (AI) into language instruction. This research uses an interpretive qualitative approach through semi-structured interviews with seven teachers from diverse institutional backgrounds in Sumatera. Thematic analysis identified six key themes: (1) pedagogical change through AI integration, (2) evolving teacher identity, (3) reflective professional agency, (4) contextual constraints, (5) students' engagement and critical awareness, and (6) the need for instructional support and teacher training. Findings indicate that AI tools, such as ChatGPT and Grammarly, have facilitated a shift toward more student-centered, project-based, and reflective teaching practices. Teachers reported a redefinition of their roles from content transmitters to facilitators and mentors, with an increasing emphasis on assessing learning processes rather than outcomes. However, AI integration was hindered by infrastructural limitations, unequal access to technology, and a lack of AI literacy. The study reveals that technological transformation in ELT is not merely technical but also shaped by contextual realities and teacher identity. It highlights the need for context-sensitive professional development and inclusive policy support that enhance teachers' adaptive capacities in an AI-mediated learning environment

Foreign language · Indonesian · Negotiation · Professional development · Qualitative research · Semi-structured interview · Thematic analysis · Artificial Intelligence in Healthcare and Education · E-Learning and COVID-19 · Technology-Enhanced Education Studies

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