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REIMAGINING TEACHER EDUCATION FOR THE AGE OF ARTIFICIAL INTELLIGENCE AND HUMAN-CENTRED PEDAGOGY

Aug 2026 · EPRA international journal of multidisciplinary research · pp. 485 · 0 citations

TL;DR

The study argues that AI should augment rather than replace teachers' professional judgement, creativity, relational capacities and ethical responsibility, and proposes a Human-Centred AI-Integrated Teacher Education Framework, which can support the development of reflective, technologically capable, ethically responsible and human-centred teachers prepared to navigate the evolving educational landscape.

Abstract

Artificial Intelligence (AI) is rapidly transforming educational practices and challenging conventional understandings of teaching, learning and teacher professionalism. The emergence of generative AI, intelligent tutoring systems, adaptive learning platforms and AI-supported assessment has created new possibilities for improving educational efficiency, personalisation and accessibility, while simultaneously raising concerns related to accuracy, bias, privacy, academic integrity, professional autonomy and human agency. Against this backdrop, the present study explores how teacher education can be reimagined for an AI-intensive educational environment through a human-centred pedagogical perspective. The study adopts a qualitative, review-based approach, drawing upon scholarly literature, systematic reviews, international frameworks and Indian educational policy documents. The findings indicate that teacher education in the AI era requires a broader conception of teacher competence encompassing AI literacy, pedagogical integration, ethical and critical judgement, human–AI collaboration and continuous professional learning. The study further identifies the need to integrate AI across teacher education curricula rather than treating it as an isolated technological component. Based on the synthesis of the reviewed literature, a Human-Centred AI-Integrated Teacher Education Framework is proposed, comprising six interconnected dimensions: human purpose, AI literacy, AI pedagogical integration, ethical governance, professional agency and continuous professional learning. The study argues that AI should augment rather than replace teachers' professional judgement, creativity, relational capacities and ethical responsibility. Reimagining teacher education through this framework can support the development of reflective, technologically capable, ethically responsible and human-centred teachers prepared to navigate the evolving educational landscape.

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