digital educational platforms

Methods and Intelligent Models for Automated Knowledge Assessment and Academic Integrity Analysis in Digital Learning Platforms

This paper investigates intelligent models and methods for automated knowledge assessment and academic integrity analysis in digital educational platforms. The rapid spread of generative artificial intelligence tools has created new challenges for existing e-learning systems, which are primarily oriented toward result-based evaluation rather than process analysis. An integrated approach combining behavioral, textual, and statistical features of student learning activity has been proposed.

Enhancement of information retrieval systems on digital educational platforms

During the pandemic, the use of remote work through IT tools has highlighted the importance of information retrieval.  With the rising digitalization of the world, automation continues to expand.  In the field of education, distance learning has become widespread, while hybrid training remains a viable alternative.  Students rapidly adapted to distance learning and began using e-learning systems, despite their limited proficiency in navigating various features.  One of the main challenges they faced was the inadequacy of the retrieved information.  This study aims to pr