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Željka Rosandić

University of Slavonski Brod, Croatia

 

Anamarija Štefić

Josip Juraj Strossmayer University of Osijek, Croatia

 

Abstract

This study investigates the integration of artificial intelligence (AI) in Language for Specific Purposes (LSP) teaching, focusing on engineering education. It explores how AI tools, such as Sketch Engine, can enhance LSP teaching by facilitating the acquisition of domain-specific vocabulary and collocations critical to professional communication. In classroom implementation, ten core mechanical engineering collocations were systematically selected and taught, including compressive strength, tensile strength, thermal conductivity, heat treatment, load-bearing capacity, machining tolerance, friction coefficient, yield point, rotational speed, and material fatigue. The primary research question examines how AI-driven tools can improve the teaching and learning process in LSP contexts, particularly for engineering students. Using a mixed-methods approach, the study combines corpus analysis with action research to evaluate the effectiveness of AI tools in creating personalized and adaptive learning experiences. Learning outcomes were measured through pre- and post-tests on the accurate use and recognition of the ten selected collocations. Error reduction was quantified by tracking incorrect collocation usage and non-standard technical terminology in student texts before and after the intervention, using both manual assessment and automated feedback from ChatGPT. Preliminary results indicate that AI enhances students' ability to grasp technical terminology and collocations, while reducing linguistic errors. However, challenges such as data privacy concerns and the need for faculty training were identified. The findings suggest that AI can bridge the gap between technical expertise and communication skills, preparing students for global professional environments. Future research should explore scalability, long-term impact, and ethical considerations for the responsible implementation of AI in education.

 

Keywords

Artificial Intelligence (AI), collocations, corpus linguistics, engineering education, Language for Specific Purposes (LSP)