E-learning is renowned as one of the highly effective modalities of learning. Social learning,
in turn, is considered to be of major importance as it promotes collaboration between …

Students are characterized according to their own distinct learning styles. Discovering
students' learning style is significant in the educational system in order to provide adaptivity …

E-learning has recently become widespread all over the world. All countries are working
more and more to integrate information and communication technology in their educational …

This research work is based on the thesis contribution by proposing the goal-based hybrid
filtering approach in e-learning recommender systems (eLearningRecSys). The proposed …

Given the increasing proliferation of educational resources on YouTube, this social media
platform has become an optimal space to which students usually resort to improve their …

This paper presents a new college admission system using hybrid recommender based on
data mining techniques and knowledge discovery rules, for tackling college admissions …

With the rapid increase in Social Web applications, a significant amount of research has
been dedicated to the analysis and development of a personalized recommendation using …

We present in this paper the results of a second experiment that was recently conducted to
evaluate a hybrid recommendation approach in an online learning environment. The …

Dramatic increase of learning resources has made the process of learning a time-
consuming task for learners to find relevant resources. Recommender systems are …

随着在线学习平台的普及, 产生了大量学习行为数据, 如何利用大数据挖掘技术分析在线学习
行为, 解决学习者经常面临的“资源过载” 和“学习迷航” 问题, 更好地实现教学决策 …