Assessing nursing students' e-health literacy and foresights to global health challenges during COVID-19 restrictions: A cross-sectional study with a machine learning approach.

Kupcu, Cisem, Bodur, Gonul, Kucukkaya, Aycan and Goktas, Polat (2024) Assessing nursing students' e-health literacy and foresights to global health challenges during COVID-19 restrictions: A cross-sectional study with a machine learning approach. Nurse education in practice, 81. p. 104179. ISSN 1471-5953

Information
URI:
https://eprints.teachingandlearning.ie/id/eprint/7717
Title:
Assessing nursing students' e-health literacy and foresights to global health challenges during COVID-19 restrictions: A cross-sectional study with a machine learning approach.
Authors:
Kupcu, Cisem, Bodur, Gonul, Kucukkaya, Aycan and Goktas, Polat
Identification Number:
10.1016/j.nepr.2024.104179
Official URL:
https://doi.org/10.1016/j.nepr.2024.104179
Date:
2 November 2024
Subjects:
L Education > LB Theory and practice of education > LB2300 Higher Education
Additional Information:
Update reference: NFU-2024-0697. An original abstract is available at the linked source. Its redistribution terms were not established, so no replacement summary has been supplied.
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Item Type:
Article
Depositing User:
National Forum
Date Deposited:
25 Oct 2026 02:18
Revision:
2
Last Modified:
25 Oct 2026 02:18
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