COMPARATIVE ANALYSIS OF AI-GENERATED TEXT DETECTION MODELS IN STUDENT TEXTUAL ASSIGNMENTS
Abstract. Modern transformer models have significantly expanded the capabilities of automated text generation, posing new challenges for maintaining academic integrity in higher education. Traditional plagiarism detection systems often fail to distinguish between student-written work and AI-generated materials, underscoring the need for robust automatic detectors. Accordingly, this article presents a comparative analysis of three approaches to […]