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Nursing Students' Computer Anxiety and Attitudes Before and During the COVID-19 Pandemic
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2023 (English)In: Advances in Experimental Medicine and Biology, ISSN 0065-2598, E-ISSN 2214-8019, Vol. 1425, p. 377-391Article in journal (Refereed) Published
Abstract [en]

Purpose of this research was to investigate how the COVID-19 pandemic affected the level of computer anxiety of nursing students and also their attitude related to computer use. A cross-sectional study was conducted in two periods, one before the COVID-19 pandemic (1st period) and the second during the COVID-19 pandemic (2nd period). The research instrument consisted of three parts, a questionnaire with questions about demographic and educational characteristics such as gender and semester of study, the Computer Anxiety Rating Scale (CARS), that used to assess the nursing students' levels of computer anxiety and the Computer Attitude Scale (CAS) that used to measure nursing students' positive and negative attitudes towards computers. Data from 957 undergraduate nursing students were obtained. Specifically, in the 1st period, 370 nursing students participated (38.66%), while in the 2nd period 587 (61.34%) undergraduates participated. The anxiety of participants during COVID-19 pandemic period was reduced compared to that of participants before the COVID-19 period. Respondents during the COVID-19 pandemic have fewer negative feelings towards computers, based on their answers in contrast to the participants in the study before the COVID-19 pandemic. Computer anxiety and attitudes have change among nursing students among COVID-19 pandemic. Nursing students after the implementation of online training are reporting positive feeling towards computer use and are more confident for their ICT skills. 

Place, publisher, year, edition, pages
Springer Nature , 2023. Vol. 1425, p. 377-391
Keywords [en]
Computer anxiety, Computer use, COVID-19, Nursing students
National Category
Nursing
Identifiers
URN: urn:nbn:se:miun:diva-49186DOI: 10.1007/978-3-031-31986-0_37PubMedID: 37581812Scopus ID: 2-s2.0-85168194866OAI: oai:DiVA.org:miun-49186DiVA, id: diva2:1792310
Available from: 2023-08-29 Created: 2023-08-29 Last updated: 2023-08-29Bibliographically approved

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Lee, Kya Yiu

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf