Towards an Evolution of E-Learning Recommendation Systems: From 2000 to Nowadays

• Main Authors: Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, Samir Bennani
• Format: Article
• Language: English
• Published: Kassel University Press 2021-03-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: e-learning, recommendation systems, evolution
• Online Access: https://online-journals.org/index.php/i-jet/article/view/18159

In e-learning, recommendation systems have proven to be highly efficient for improving learners' performance and knowledge. They can manage the different pedagogical resources and simplify the workload for the instructor and learners as well. Throughout the years, recommendation systems in e-learning have wit-nessed a major evolution since the 2000s. Several aspects have been developed, including techniques involved, test data (...). In this respect, this paper analyses the evolution of recommendation systems in e-learning since 2000 with a focus on the evolution sides. It furthermore addresses areas not fully addressed to date. A set of recommendation systems is identified and then analysed in order to define techniques used, as well as algorithms deployed.