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A Questionnaire Dataset on Perceived Stress in Indian Higher Education Students during Emergency Remote Learning

  • Sharisha Shanbhog M
  • , Jeevan Medikonda*
  • , Shweta Rai*
  • , Rayan Charls Mathias
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Background: The COVID-19 pandemic led to a sudden shift to Emergency Remote Learning, significantly impacting students’ mental health. This study visualizes and analyses various stressors contributing to stress levels among university students during Emergency Remote Learning and explores how different factors from environmental and instructional mediums contribute to their perceived stress. Method: Data was collected through a cross-sectional survey using the Modified Perceived Stress Scale and an additional set of 20 Likert scale items on Emergency Remote Learning. One-sample t-tests were performed to assess the consistency of responses across questionnaire items, and correlation analysis was conducted to examine the relationships between different stressors. Frequency distributions were also analyzed to capture the prevalence of stress levels across demographic, environmental, and instructional variables. Conclusion: The study revealed that frequent thoughts about unaccomplished tasks were associated with high stress (14.12%). Other factors include feeling nervous and stressed, feeling things that are not going their way, and difficulties piling up significantly elevated stress levels. Items specific to Emergency Remote Learning revealed that a sudden shift to Remote Learning heavily influenced students’ mental well-being. Additionally, demographic analysis showed that students aged 21 experienced the highest stress levels. Living arrangements, internet connectivity, and the impact of COVID-19 on close affinities further contributed to stress. This study underscores the complexity of stress during Emergency Remote Learning. It emphasizes the need for institutions to address psychological and instructional factors to support students better during remote learning environments.

    Original languageEnglish
    Article number40
    JournalF1000Research
    Volume14
    DOIs
    Publication statusPublished - 2025

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • General Medicine
    • General Biochemistry,Genetics and Molecular Biology
    • General Immunology and Microbiology
    • Arts and Humanities (miscellaneous)
    • Social Sciences (miscellaneous)
    • General Pharmacology, Toxicology and Pharmaceutics
    • Library and Information Sciences

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