Review of personalized language learning systems

Heba M. Ismail, Saad Harous, Boumediene Belkhouche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This study reviews published scientific literature on personalized language learning systems. The focus is threefold: 1) present a review and categorization framework that can be used to analyze and classify personalized language learning systems, 2) analyze recent work in personalized language learning systems and organize them under the proposed framework, 3) identify current trends, challenges and open research questions in the field. Our review led us to propose a review and classification scheme with two dimensions each with a few sub-elements: language learning dimension and technical dimension. The reviewed articles indicate that recent language personalization systems increasingly introduce Artificial Intelligence and focus on cognitive-based personalization. Findings also suggest that language personalization systems may improve by incorporating more complex adaptive learner's model and more complex contextual language learning tasks.

Original languageEnglish
Title of host publicationProceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053438
DOIs
Publication statusPublished - Mar 16 2017
Event12th International Conference on Innovations in Information Technology, IIT 2016 - Al Ain, United Arab Emirates
Duration: Nov 28 2016Nov 29 2016

Publication series

NameProceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016

Other

Other12th International Conference on Innovations in Information Technology, IIT 2016
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period11/28/1611/29/16

Keywords

  • Computer Aided Language Learning
  • Personalized Language Learning
  • Personalized Learning Systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Computer Networks and Communications
  • Instrumentation

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