Generative AI and Redefining Scope of Language Curriculum

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Authors: Rashad Ali Ahmed, Abdu M. Talib Al-kadi, Beatricce Namusiginyi
Cited by: 0
References: 27

Abstract

This chapter is based on an argument that while AI offers opportunities for adaptive and on-demand learning, it tends to reduce the scope of the curriculum. A dataset collected through semi-structured interviews with twenty university-level TESOL educators from fifteen countries was analyzed qualitatively. Three interconnected themes surfaced from this analysis: bias in content selection, reduced critical engagement, and teacher mediation. As AI tools work on measurable skills rather than critical thinking and cultural depth, they risk narrowing language curricula to quantifiable features, underscoring the importance of pedagogical strategies for holistic development. Positioning educators as active agents helps in shaping inclusive and reflective language learning, preserving cultural depth, critical engagement, and holistic learning outcomes in AI-enhanced environments.

Fields of Study & Subjects

Artificial Intelligence in Education EFL/ESL Teaching and Learning English Language Learning and Teaching

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
251–270
Publication date
13 March 2026
Language
EN
Document type
Book chapter