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Research Article Open access CC BY 4.0

Factors Affecting Technological Stress among Public School Teachers during COVID-19 Pandemic

M. Lara, N. J. Palarisan, M. J. Licudine, F. Silva, L. Granada, R. Billones

Asian Research Journal of Arts & Social Sciences · pp. 1–9 · Published 2 Aug 2022

10.9734/arjass/2022/v18i130321

Abstract

Aims: The present investigation aims to study the factors affecting technological stress among public school teachers during the covid-19 pandemic. This study hopes to address this gap wherein the result is timely, relevant, and as a potential basis for possible interventions. Study Design: The study employed a descriptive-correlational design. Place and Duration: This study occurred in Region XI, Davao Del Sur, between 2021 and 2022. Methodology: A total of 174 public school teachers participated in the study's data collection. Using an adapted survey questionnaire, distributed using GOOGLE forms, the demographic profile and the level of technostress were collected among those who participated in the Health Psychology Symposium led by the researchers. Results: The findings revealed that the majority of the respondents were young adults, female, and were Teacher 1. Also, the test of significance revealed that the p-value was less than the 0.05 level of significance, thus indicating that there is indeed a significant relationship between age and the level of technostress of teachers. Conclusion: The study concluded that age-specific interventions that may improve public teachers' technology usage or equipping them with skills to overcome stress must be perused.

Education technostress descriptive-correlation public school teachers pandemic

References (19)

  1. 1 The Impact of Technostress on Role Stress and Productivity [DOI]
  2. 2 The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research [DOI]
  3. 3 Teaching in a Digital Age: How Educators Use Technology to Improve Student Learning [DOI]
  4. 4 The Bright and Dark Sides of Technostress: A Mixed-Methods Study Involving Healthcare IT [DOI]
  5. 5 Emergency remote teaching during Coronavirus pandemic: the current trend and future directive at Middle East College Oman [DOI]
  6. 6 Impact of Educational Technology on Teacher Stress and Anxiety: A Literature Review [DOI]
  7. 7 Teacher Professional Development for TPACK-21CL [DOI]
  8. 8 Do Individual Characteristics Influence the Types of Technostress Reported by Workers? [DOI]
  9. 9 Technostress in university students’ technology-enhanced learning: An investigation from multidimensional person-environment misfit [DOI]
  10. 10 Compulsive mobile application usage and technostress: the role of personality traits [DOI]
  11. 11 COVID-19 Crisis and Faculty Members in Higher Education: From Emergency Remote Teaching to Better Teaching through Reflection [DOI]
  12. 12 Technostress and Employee Performance Nexus During COVID-19: Training and Creative Self-Efficacy as Moderators [DOI]
  13. 13 Building blocks of instructor professional development for innovative ICT use during a pandemic [DOI]
  14. 14 Technostress in Spanish University Students: Validation of a Measurement Scale [DOI]
  15. 15 Investigation of Techno-Stress Levels of Teachers Who Were Included in Technology Integration Processes.
  16. 16 Digitalization of work and heteronomy [DOI]
  17. 17 Technostress and Its Management Techniques: A Literature Review [DOI]
  18. 18 The Effect of Technostress on Emotional Exhaustion and Coping Strategies [DOI]
  19. 19 Linking User Age and Stress in the Interruption Era: The Role of Computer Experience [DOI]

Cited by 2

Digital resilience and technological stress in adolescents: A mixed-methods study of factors and interventions

Chunlin Qi, Nanchang Yang · Education and Information Technologies · 2024

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