Modeling of Students Online Social Presence on Social Networking Sites and Academic Performance

Authors

  • Yahya M. Al-dheleai School of Educational Studies Universiti Sains Malaysia
  • Zaidatun Tasir Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia
  • Waleed Mugahed Al-Rahmi Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia
  • Mohammed A. Al-Sharafi Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang
  • Alamin Mydin School of Educational Studies Universiti Sains Malaysia

DOI:

https://doi.org/10.3991/ijet.v15i12.12599

Keywords:

online Social presence, SNS, academic performance

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 181 post-graduate students in one of Malaysian public universities. 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.

Author Biography

Yahya M. Al-dheleai, School of Educational Studies Universiti Sains Malaysia

School of Educational Studies

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Published

2020-06-26

How to Cite

Al-dheleai, Y. M., Tasir, Z., Al-Rahmi, W. M., Al-Sharafi, M. A., & Mydin, A. (2020). Modeling of Students Online Social Presence on Social Networking Sites and Academic Performance. International Journal of Emerging Technologies in Learning (iJET), 15(12), pp. 56–71. https://doi.org/10.3991/ijet.v15i12.12599

Issue

Vol. 15 No. 12 (2020)

Section

Papers

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