Personalized recommendation is an effective method for fighting “information overload”.
However, its performance is often limited by several factors, such as sparsity and cold-start …

In recent years, the explosion of learning materials in the web-based educational systems
has caused difficulty of locating appropriate learning materials to learners. A personalized …

The ever-more complex labor world and the current economic crisis ask learners and
workers to continuously update their qualification levels to stay relevant on the job. Hence …

The aim of this article is to propose a method for development of concept map in web-based
environment for identifying concepts a student is deficient in after learning using traditional …

Today recommender systems are widely used not only in e-commerce but in e-learning as
well. They are actually made use of in the latter environment to suggest resources and …

This chapter presents a meta-search approach, meant to deliver bibliography from the
internet, according to trainees' results obtained at an e-assessment task. The bibliography …

In this paper, a novel method based on tagging technology is proposed for assessing
learners which is named TagAssessment. In this method, in order to assess learners, the …

The paper presents an educational recommender engine, which is fired by the feedback
module of an e-assessment application for the project management domain. The …

In recent years, with growth of online learning technology, a huge amount of e-learning
resources have been generated in various media formats. This growth has caused difficulty …

This aim of this article is to study the use of Educational Data Mining (EDM) techniques in
constructing concept maps for organizing knowledge in web based learning systems …