A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …

Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide
learners with individualized feedback and materials adapted to their level of understanding …

Over the last couple of decades, there have been a large variety of approaches towards
modeling student knowledge within intelligent tutoring systems. With the booming …

Intelligent tutoring systems adapt the curriculum to the needs of the individual student.
Therefore, an accurate representation and prediction of student knowledge is essential …

Knowledge Tracing is the de-facto standard for inferring student knowledge from
performance data. Unfortunately, it does not allow modeling the feature-rich data that is now …

Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …

Researchers use many different metrics for evaluation of performance of student models.
The aim of this paper is to provide an overview of commonly used metrics, to discuss …

ABSTRACT Massive Open Online Courses (MOOCs) are an increasingly pervasive
newcomer to the virtual landscape of higher-education, delivering a wide variety of topics in …