A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey
Tekijät: Jeon, Eunjoo; Peltonen, Laura-Maria; Block, Lorraine J.; Tayaben, Jude L.; Ronquillo, Charlene; Nibber, Raji; Pruinelli, Lisiane; Lozada Perezmitre, Erika; Sommer, Janine; Topaz, Maxim; Jacklin Eler, Gabrielle; Yoshikazu Shishido, Henrique; Wardaningsih, Shanti; Sutantri, Sutantri; Ali, Samira; Alhuwail, Dari; Abd-Alrazaq, Alaa; Akhu-Zaheya, Laila; Lee, Ying-Li; Shu, Shao-Hui; Lee, Jisan
Kustantaja: Korean Society of Medical Informatcics
Julkaisuvuosi: 2024
Lehti: Healthcare Informatics Research
Tietokannassa oleva lehden nimi: HEALTHCARE INFORMATICS RESEARCH
Lehden akronyymi: HEALTHC INFORM RES
Vuosikerta: 30
Numero: 1
Aloitussivu: 49
Lopetussivu: 59
Sivujen määrä: 11
ISSN: 2093-3681
eISSN: 2093-369X
DOI: https://doi.org/10.4258/hir.2024.30.1.49
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava
Verkko-osoite: https://e-hir.org/journal/view.php?doi=10.4258/hir.2024.30.1.49
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/387357941
Rinnakkaistallenteen lisenssi: CC BY NC
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
Objectives: With the sudden global shift to online learning modalities, this study aimed to understand the unique challenges and experiences of emergency remote teaching (ERT) in nursing education.
Methods: We conducted a comprehensive online international cross-sectional survey to capture the current state and firsthand experiences of ERT in the nursing discipline. Our analytical methods included a combination of traditional statistical analysis, advanced natural language processing techniques, latent Dirichlet allocation using Python, and a thorough qualitative assessment of feedback from open-ended questions.
Results: We received responses from 328 nursing educators from 18 different countries. The data revealed generally positive satisfaction levels, strong technological self-efficacy, and significant support from their institutions. Notably, the characteristics of professors, such as age (p = 0.02) and position (p = 0.03), influenced satisfaction levels. The ERT experience varied significantly by country, as evidenced by satisfaction (p = 0.05), delivery (p = 0.001), teacher-student interaction (p = 0.04), and willingness to use ERT in the future (p = 0.04). However, concerns were raised about the depth of content, the transition to online delivery, teacher-student interaction, and the technology gap.
Conclusions: Our findings can help advance nursing education. Nevertheless, collaborative efforts from all stakeholders are essential to address current challenges, achieve digital equity, and develop a standardized curriculum for nursing education.
Ladattava julkaisu This is an electronic reprint of the original article. |