ENHANCING FOREIGN LANGUAGE ASSESSMENT IN TECHNICAL UNIVERSITIES: A DIGITAL APPROACH

Abstract

The article explores the growing role of digital technologies in assessing the foreign language proficiency of students at technical universities. It highlights the limitations of traditional assessment methods, such as the focus on memorisation and the lack of personalised feedback, and argues for the benefits of integrating digital tools. The study provides a comprehensive analysis of various digital tools and platforms that can be used to assess language competences in a technical university. These tools are aimed at improving the efficiency of knowledge control and ensuring unbiased assessment. The analysis encompasses learning management systems (LMS), massive open online courses (MOOCs), interactive tools, grammar checkers and analytical systems, with the popular online platform Classtime employed to demonstrate the functionality and benefits of digital assessment in practice.The article emphasises the transformative potential of digital technologies in improving the foreign language learning process, especially in technical universities. By strategically integrating traditional and digital assessment methods, teachers can create a more personalised, accessible and interactive learning experience that meets the diverse needs of students. The effectiveness of these tools, as the article points out, depends on thoughtful integration that takes into account the individual characteristics of students and promotes their engagement. The paper further underscores the sig-nificance of integrating automated and traditional assessment methods, emphasising the value of self-reflection among students. This integrated approach, it is asserted, holds great promise in fostering more comprehensive and adaptive educational practices in the context of foreign language teaching at technical universities. The study offers a set of recommendations that are designed to facilitate effective assessment in this particular learning environment.