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Registered nurses' attitudes towards e-learning and technology in healthcare: A cross-sectional survey.
Bloomfield, Jacqueline G; Fisher, Murray; Davies, Clare; Randall, Sue; Gordon, Christopher J.
Afiliação
  • Bloomfield JG; Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. Electronic address: jacqueline.bloomfield@sydney.edu.au.
  • Fisher M; Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Davies C; Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Randall S; Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
  • Gordon CJ; Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Nurse Educ Pract ; 69: 103597, 2023 May.
Article em En | MEDLINE | ID: mdl-36996555
BACKGROUND: Online learning, also known as e-learning, has increased considerably during the COVID-19 pandemic and is now an important feature of nursing education globally. An understanding of registered nurses' online self-regulated learning, attitudes to e-learning and the relationship of these to attitudes to Information and Communication Technology (ICT) in healthcare facilitates successful educational outcomes. OBJECTIVE: To explore the association between registered nurses' attitudes to e-learning and self-regulated online learning skills on their attitudes towards the use of ICT in healthcare. DESIGN: A quantitative study employing a cross-sectional survey. SETTINGS AND PARTICIPANTS: A convenience sample of registered nurses (n = 120) enrolled in a nursing degree conversion program delivered in Singapore. METHODS: Participants (n = 120) completed an online anonymous survey consisting of three validated instruments (Information Technology Attitude Scale for Health (ITASH), Attitudes towards e-learning and, Online Self-regulated Learning Questionnaire. Descriptive and inferential statistics analyses were conducted. RESULTS: Participant's levels of online self-regulated learning were positively correlated with attitudes to e-learning (r = 0.663, p < 0.001). Attitudes to e-learning (70.4, SD 11.5) were also positively predictive of ITASH (R2 = 0.306, p < 0.001), but online self-regulated learning was not contributory to the prediction of attitudes to ICT in healthcare. CONCLUSIONS: It is recommended that educators involved in online learning focus on strategies aimed at promoting positive attitudes to e-learning and ICT prior to employing those aimed at developing online self-regulation skills. Further research exploring online learning and ICT needs in the workplace are required.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Instrução por Computador / COVID-19 / Enfermeiras e Enfermeiros Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Instrução por Computador / COVID-19 / Enfermeiras e Enfermeiros Idioma: En Ano de publicação: 2023 Tipo de documento: Article