Improving Electronic Assessment Methodology in Higher Education Based on Learning Analytics

Abstract

This article examines the improvement of electronic assessment methodology in higher education institutions based on Learning Analytics technology. The study explores the collection, processing, and analysis of educational data generated within digital learning environments. The role of Learning Analytics in monitoring students' learning activities, assessing academic performance, and supporting pedagogical decision-making is analyzed. A conceptual model for electronic assessment based on Learning Management System (LMS) data is proposed. The study also substantiates the potential of Learning Analytics to enhance the objectivity, transparency, and effectiveness of the assessment process.