The Future of Education

The rapid integration of language tools powered by artificial intelligence (AI) into higher education has introduced significant cognitive, pedagogical and sociolinguistic implications, particularly for non-native English-speaking university students. This study investigates the evolving impact of AI-assisted writing and speaking tools on second language (L2) development within academic contexts. The article is grounded in applied linguistics and second language acquisition theory and examines how sustained reliance on AI-generated language support may influence the learners’ linguistic competence, conceptual understanding, cognitive and critical thinking and academic voice. Furthermore, it analyzes potential shifts in lexical precision, grammatical accuracy and pragmatic awareness in AI-mediated academic text and speech generation.
Using a mixed-methods design, the study will combine quantitative and qualitative analyses. The findings aim to clarify whether AI functions primarily as a scaffold that promotes language development (Vygotsky, 1978) or as a compensatory mechanism that may inhibit deeper cognitive and linguistic processing (Swain, 1985). By situating AI within existing frameworks of second language acquisition, academic discourse development and language pedagogy, this research contributes empirical evidence to ongoing debates regarding AI integration in higher education. The study offers pedagogical recommendations for educators and policymakers seeking to optimize AI-assisted learning while mitigating potential negative impacts on language acquisition, conceptual understanding, cognitive and critical thinking.