Untangling the Cognitive and Emotional State of EFL Learners in AI-Integrated Language Instruction: A Humanized Pedagogy Perspective

Document Type : Original Article

Authors

1 Department of English Language, Faculty of Literature and Humanities, University of Gonabad, Gonabad, Iran

2 Department of English Language and Literature, Faculty of Letters and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran

3 Department of English Language, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, Iran

Abstract

This research aims to analyze the cognitive and affective perceptions of Artificial Intelligence (AI) technology-based language learning, particularly humanized pedagogy, among the Iranian English as a Foreign Language (EFL) learners. Based on the Community of Inquiry (CoI) model and Freirean beliefs of dialogue and empowerment, the study examines how students make their way back and forth between technological efficacy and emotional connection. A qualitative research design was applied, where semi-structured interviews and reflective narratives were used. The thematic analysis produced five broad themes, namely (1) AI as a source of psychological safety and emotional isolation; (2) teacher mediation as crucial for humanizing use of AI; (3) learner agency existing along a continuum mediated by critical literacy; (4) varied types of “safety ecologies” encapsulated in AI, peers, and teachers; and (5) complementary partnership between humans and AI. Results show that the AI supports cognitive engagement and self-regulation, but only when there are emotional presence and empathy, due to the teachers’ mediating role. The conclusion drawn from the study is that humanization of pedagogy is critical to maintain an equilibrium between automation and affect in order for AI to become a tool for empowerment rather than alienation in EFL landscapes.

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Main Subjects


Copyright © 2026 The Author(s). Published by the Faculty of Persian Literature and Foreign Languages at the University of Mazandaran. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

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  • Receive Date: 04 December 2025
  • Revise Date: 21 February 2026
  • Accept Date: 27 February 2026
  • First Publish Date: 01 May 2026
  • Publish Date: 01 May 2026