FORUM DE L' ENSEIGNANT منتدى الأستاذ

Beyond Algorithmic Mimicry: Toward A Context-sensitive Framework For Ai-calibrated Efl Writing Classrooms In Algeria

Auteurs : Fiala Ouissem . Haddad Chafia .

Résumé

Artificial intelligence is rapidly transforming English Foreign Language (EFL) writing instruction, though its global expansion relies heavily on algorithmic architectures trained on dominant Anglophone corpora and pedagogical assumptions rooted in the Global North. In multilingual contexts such as Algeria; where the linguistic environment is shaped by Arabic, Tamazight, and French, the uncritical adoption of these systems risks the production of what this paper termed algorithmic mimicry which is the silent reproduction of externally encoded linguistic hierarchies, cultural norms, and instructional logics under the guise of digital innovation. This paper is a conceptual framework paper with illustrative scenarios; it argues that the digital turn in EFL writing must not result in cultural homogenization. Instead, it proposes the application of the C.A.R.E. Framework (Contextual Calibration, Agency-Centered Calibration, Reflective Supervisory Integration, and Ethical-Linguistic Governance) as a strategic defense of local identity. This is a context-sensitive model for AI-calibrated classrooms. The study concludes that sustainable digital writing pedagogy in Algeria requires not technological acceleration but an epistemological recalibration. The future of AI in Algerian classrooms will depend less on computational sophistication than on the capacity to align intelligent systems with local linguistic realities, pedagogical traditions, and national educational priorities.

Mots clés

Generative AI, ; Algorithmic Mimicry, ; Pedagogical Calibration ; writing pedagogy ; Algerian C.A.R.E. Framework