Modeling of students online social presence on social networking sites with academic performance

  • Yahya M. Aldheleai*
  • , Zaidatun Tasir
  • , Waleed Mugahed Al-Rahmi
  • , Mohammed A. Al-Sharafi
  • , Alamin Mydin
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Social Presence is a vital component of learning experience. This study develops a predictive model of students' online social presence on social networking sites "SNS". This study used SmartPLS software in the model development process. The study explored five facets of SP and its relationship with students' academic performance. The model is based on the survey data that collected from tertiary students in Malaysia. The findings of this study showed that there is a significant relationship between all five facets of online social presence and students' academic performance. SNS is appropriate tools that supports students' sense of social presence which contributes to better learning and academic performance. Consequently, the developed model can be used by instructional designers, instructors, and researchers to measure students' online social presence and its effect on students' academic performance.

Original languageEnglish
Pages (from-to)56-71
Number of pages16
JournalInternational Journal of Emerging Technologies in Learning
Volume15
Issue number12
DOIs
StatePublished - 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Kassel University Press GmbH.

Keywords

  • Academic performance
  • Online Social presence
  • SNS

ASJC Scopus subject areas

  • Education
  • General Engineering

Fingerprint

Dive into the research topics of 'Modeling of students online social presence on social networking sites with academic performance'. Together they form a unique fingerprint.

Cite this