The student's performance prediction is an important research topic because it can help
teachers prevent students from dropping out before final exams and identify students that …

The traditional system of selecting courses to carry out research work is time consuming,
risky and a tedious task, that not only badly affect the performance but the learning …

With the rapid increasing of learning objects (LOs) in a variety of media formats, it becomes
quite difficult and complicated task for learners to find suitable LOs based on their needs and …

Student modeling is a fundamental aspect in customized learning environments. It enables
unified representation of students' characteristics that supports creating personalized …

Learning Objects (LOs) have emerged as a cornerstone approach for the development and
distribution of educational content. These resources are distributed by Learning Object …

Abstract Aim/Purpose: This study is an attempt to enhance the existing learning
management systems today through the integration of technology, particularly with …

This article introduces a recommendation system that merges a knowledge-based (attribute-
based) approach with collaborative filtering, specifically addressing the challenges of the …

The authors have analyzed various particularities of distance learning, learning
management systems, content management systems and content learning ones, their …

Traditional e-learning systems lack the personalization feature to guide learners for
selecting the most suitable courses needed. Choosing appropriate courses in the seminal …

Adaptive e-learning systems enhance the efficiency of online education by providing
personalised, adaptive contents and user interfaces which change with respect to learner's …