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Exploring the Impact of Social Media Usage on Filipino Students’ Learning Outcomes during the COVID-19 Pandemic

  • Zachariah John A. Belmonte
  • , Yogi Tri Prasetyo
  • , Maela M. Cahigas
  • , Michael N. Young
  • , Reny Nadlifatin
  • , Rexmelle F. Decapia
  • Mapua University
  • Technological University of the Philippines
  • Yuan Ze University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In recent years, the role of social media has shifted from simple socialization to collaborative engagement, a transformation underscored by the global impact of the COVID-19 pandemic on education. This study delves into the factors influencing Filipino students’ behavioral intention to use social media and its implications for academic performance across Secondary to tertiary levels. Employing a conceptual model rooted in the Unified Theory of Acceptance and Use of Technology (UTAUT), enriched with intrinsic value, the research adopts a purposive sampling method, involving a total of 388 students from secondary and tertiary levels. Utilizing Structural Equation Modeling (SEM) in IBM SPSS AMOS version 26, the study assesses and validates the hypothesized model. Results found that social influence emerges as the most significant factor in behavioral intention, followed by intrinsic value, facilitating conditions, and performance expectancy, while effort expectancy lacks significance. These findings deepen our understanding of social media’s educational role and its impact on the learning outcomes of Filipino students. These findings deepen understanding of social media’s educational role and its implications for the learning outcomes of students.

Original languageEnglish
Title of host publicationICDTE 2024 - 2024 8th International Conference on Digital Technology in Education
PublisherAssociation for Computing Machinery
Pages47-55
Number of pages9
ISBN (Electronic)9798400717574
DOIs
Publication statusPublished - 6 Dec 2024
Event8th International Conference on Digital Technology in Education, ICDTE 2024 - Berlin, Germany
Duration: 7 Aug 20249 Aug 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Digital Technology in Education, ICDTE 2024
Country/TerritoryGermany
CityBerlin
Period7/08/249/08/24

Keywords

  • COVID-19
  • Structural Equation Modeling
  • UTAUT
  • learning outcomes
  • social media

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