Monitorizarea și optimizarea procesului de evaluare prin instrumente digitale avansate [Articol]

Abstract

The ongoing digital transformation of higher education has fundamentally redefined academic assessment, shifting from traditional summative practices to continuous, data-driven evaluation supported by advanced technologies. This paper explores how digital assessment tools and artificial intelligence contribute to the modernization of evaluation processes in Moldovan universities, with a focus on platforms such as Moodle and AI-enhanced analytical systems. The study examines the benefits of digital and AI-assisted assessment: including increased objectivity, efficiency, transparency, and accessibility, alongside emerging risks related to academic integrity, privacy, and algorithmic fairness. Drawing on institutional practices in engineering and medical education, the research highlights the role of automated feedback, adaptive testing, and learning analytics in improving the quality of student learning and supporting informed pedagogical decisions. A comprehensive operational model is proposed, integrating technological, pedagogical, administrative, and ethical-legislative components to ensure a sustainable and credible ecosystem of intelligent assessment in higher education.