Towards a classification view of personalized e-learning with social collaboration support

Amal Al-Abri, Yassine Jamoussi, Zuhoor AlKhanjari, Naoufel Kraiem

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

With the emergence of Web 2.0 technologies, interaction and collaboration support in the educational field have been augmented. These types of support embrace researchers to enrich the e-learning environment with personalized characteristics with the utilization of the collaboration support outputs. Achieving this requires understanding the existing environments and highlights their eminence. As a result, there are many attempts to state the current status of personalized e-learning environment from different perspectives. However, these attempts targeted a specific view and direction which failed to provide us with the general view of the adoption of personalized e-learning environment with the support of social collaboration tools. This paper provides a classified view of the current status of personalized e-learning environments which incorporate social collaboration tools for providing the personalization feature. The classification adopts four different views to carry out the classification; these views are subject, purpose, method, and tool. The findings show that the utilization of the user-generated contents and social interaction functionalities for personalization is tight and not fully consumed. In short, the potential of providing personalized learning with social interaction and collaboration features remains not fully explored.

Original languageEnglish
Pages (from-to)175-183
Number of pages9
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number8
DOIs
Publication statusPublished - 2019

Keywords

  • Classification review
  • Collaboration
  • Personalized e-learning
  • Social media

ASJC Scopus subject areas

  • General Computer Science

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