AI-driven multilingual technical communication in engineering education for sustainable development
Authors
Raja Prabu*
Abstract
Multilingualism and intercultural communication have become essential components of higher education in an increasingly
globalized academic landscape. Engineering institutions accommodate students from diverse linguistic and cultural
backgrounds, creating both opportunities and challenges for effective technical communication. This paper examines the role
of multilingual competence and intercultural communication in enhancing technical communication skills among engineering
students and explores how artificial intelligence (AI)-driven technologies can facilitate multilingual learning environments.
Drawing on perspectives from applied linguistics, engineering pedagogy, and digital education, the paper discusses how AIbased
tools such as machine translation systems, intelligent writing assistants, and adaptive learning platforms support
multilingual interaction and knowledge accessibility. The study also highlights challenges faced by students in multilingual
engineering classrooms, including language barriers, limited technical vocabulary, and cross-cultural communication
difficulties. Using contextual insights from engineering education in India, the paper proposes strategies for integrating
multilingual pedagogical practices and AI-supported learning technologies into technical communication training. These
approaches contribute to inclusive learning environments, strengthen intercultural competence, and prepare engineering
graduates for global collaboration. The paper concludes that AI-supported multilingual communication strategies contribute
significantly to sustainable development by enhancing knowledge dissemination, promoting global cooperation, and supporting
culturally inclusive educational practices.
Keywords
Publication Details
Published In
Volume 2, Issue 1