Learning path personalization and recommendation methods: A survey of the state-of-the-art

• Type: Another Publication in an International Scientific Journal
• Date: 2020

Authors

Nabizadeh, AH (Author) Other; José Paulo Leal (Author) FCUP; Rafsanjani, HN (Author) Other; Shah, RR (Author) Other

Journal

Title: Expert Systems with Applications

Vol. 159

ISSN: 0957-4174

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 43 Citations

Scopus - 73 Citations

Other information

Authenticus ID: P-00S-AG9

DOI: 10.1016/j.eswa.2020.113596

Abstract (EN): A learning path is the implementation of a curriculum design. It consists of a set of learning activities that help users achieve particular learning goals. Personalizing these paths became a significant task due to differences in users' limitations, backgrounds, goals, etc. Since the last decade, researchers have proposed a variety of learning path personalization methods using different techniques and approaches. In this paper, we present an overview of the methods that are applied to personalize learning paths as well as their advantages and disadvantages. The main parameters for personalizing learning paths are also described. In addition, we present approaches that are used to evaluate path personalization methods. Finally, we highlight the most significant challenges of these methods, which need to be tackled in order to enhance the quality of the personalization.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20