METODOLOGICAL FOUNDATIONS FOR ENHANCING THE EFFICIENCY OF CHECKING FOREIGN LANGUAGE WRITTEN WORKS: THE CASE OF AUTOMATED ASSESSMENT TOOLS

Abstract

This article explores the methodological foundations for optimizing the assessment process of written works in foreign language teaching. By examining modern automated assessment tools—such as grammar checkers, plagiarism detection software, and AI-based evaluation systems—the study analyzes how these technologies can reduce instructors' workload, increase objectivity, and provide timely, constructive feedback to learners. Research findings propose effective integration models that harmonize automated tools with traditional pedagogical approaches.