Building Successful Career Pathways: AI‐Driven English Communication Skills for Engineering Students
Year: 2026
Type: article
Study design: Observational Study
Abstract: This study assesses the introduction of artificial intelligence (AI) into English‐language training and its direct impact on engineering graduates′ job market preparedness. In the global, technology‐driven job market, good English communication skills are essential in professional engineering education. This study looks at how interactive, AI‐powered educational applications, such as automated writing feedback systems, adaptive learning software, and speech evaluation platforms, can help students develop essential linguistic abilities by focusing on specific skills like grammar, vocabulary, and pronunciation. Using empirical performance data from an N = 80 student cohort and institutional measures, this study examined how automated systems provide personalized learning paths tailored to individual competencies. The empirical findings demonstrate that tailored AI assistance significantly improves language‐learning outcomes, directly enhancing professional readiness and recruitment prospects. Based on these results, the paper offers practical recommendations for integrating AI tools into engineering education to maximize their benefits and address limitations, aiming to inform educators and policymakers about responsible AI use.
DOI: 10.1155/hbe2/1727267
Author: Prasanna Lakshmi Narra
Institution: GITAM University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $840
OpenAlex ID: W7203653010
