A Structural Model of the Relationships between Digital Well-being, Digital Social Capital, and Digital Self-Efficacy among Students of the Faculty of Education, Alexandria University.

Document Type : Original Article

Author

مدرس علم النفس التربوي بكلية التربية جامعة الإسكندرية.

Abstract

The current study aimed to validate the structural model of the relationships among digital well-being, digital social capital, and digital self-efficacy among students of the Faculty of Education at Alexandria University, and to interpret the direct and indirect effects among the research variables. The main field study sample consisted of 471 fourth-year students from both literary and scientific specializations, with a mean age of 21.80 years and a standard deviation of 0.664.The study utilized the Digital Well-Being Scale developed by Mathew et al. (2023), translated by the researcher, along with the Digital Social Capital Scale and the Digital Self-Efficacy Scale, both developed by the researcher. The psychometric properties of the instruments were verified through a sample of 390 fourth-year students from both specializations.The research adopted the descriptive causal approach using Structural Equation Modeling (SEM) to achieve its objectives. The results indicated a statistical fit of the proposed structural model and revealed significant direct and indirect positive effects of digital self-efficacy on digital well-being across its cognitive, emotional, and physical dimensions. Likewise, digital social capital showed significant direct and indirect positive effects on all dimensions of digital well-being. Furthermore, digital self-efficacy exhibited significant direct and indirect effects on both bonding and bridging dimensions of digital social capital.The study also identified a mediating role of digital social capital in the relationship between digital self-efficacy and digital well-being, also no significant differences were found in the model’s effects between male and female students at the Faculty of Education, Alexandria University. Based on the findings, the study proposed a set of recommendations and suggestions for future research.

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References

  • Abeele,V. M. M. (2020). Digital wellbeing as a dynamic construct. Communication Theory, 31(4), 932–955. https://doi.org/10.1093/ct/qtaa024
  • Abeele,V. M. M., & Nguyen, M. H. (2022). Digital well-being in an age of mobile connectivity: An introduction to the special issue. Mobile Media & Communication, 10(2), 174–189.
  • Aesaert, K., Voogt, J., Kuiper, E., & van Braak, J. (2017). Accuracy and bias of ICT self-efficacy: An empirical study into students’ over- and underestimation of their ICT competences. Computers in Human Behavior, 75, 92–102. https://doi.org/10.1016/j.chb.2017.05.010
  • Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy – an empirical assessment. Information Systems Research, 11(4), 418–430. https://doi.org/10.1287/isre.11.4.418.11876
  • Akgül, G., & Atalan Ergin, D. (2022). School counselors' attitude toward online counseling services during the pandemic: The effects of resilience and digital self‐efficacy. Psychology in the Schools, 59, 1672–1685. https://doi.org/10.1002/pits.22716
  • Allen, N. (2022). Expanding research on digital wellbeing. Retrieved from https://blog.google/technology/health/expanding-research-on-digital-wellbeing/
  • Almourad, M. B., Alrobai, A., Skinner, T., Hussain, M., & Ali, R. (2021). Digital wellbeing tools through users lens. Technology in Society, 67. https://doi.org/10.1016/j.techsoc.2021.101778
  • Amati, V., Meggiolaro, S., Rivellini, G., & Zaccarin, S. (2018). Social relations and life satisfaction: The role of friends. Genus, 74, Article 7. https://doi.org/10.1186/s41118-018-0032-z
  • Awang, Z. (2015). SEM made simple: A gentle approach to learning Structural Equation Modeling. MPWS Rich Publication.

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