Dataset of Moroccan nursing students' intention to use and accept information and communication technologies and social media platforms for learning

被引:4
|
作者
Bahri, Hind [1 ,2 ]
El Mlili, Nisrin [2 ]
Akande, Oluwatobi Noah [3 ]
Kerkeb, Abdel-ilah
Madrane, Mourad [1 ]
机构
[1] Univ Abdelmalek Essaadi, Interdisciplinary Lab Res Pedag Engn LIRIP, Ecole Normale Super, Tetouan, Morocco
[2] Inst Nursing & Hlth Technol ISPITS, Tetouan, Morocco
[3] Landmark Univ, Comp Sci Dept, Omu Aran, Kwara State, Nigeria
来源
DATA IN BRIEF | 2021年 / 37卷
关键词
Education technology; Social media; COVID-19; Information and communication technologies; Moroccan nursing students;
D O I
10.1016/j.dib.2021.107230
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The outbreak of COVID-19 has redefined how we carry out our daily activities with emphasis on safety measures like social distancing, the use of face masks and proper hygiene. With nursing personnel at the forefront of combating the menace created by this pandemic, the use of ICT has remained a vital technology that must be embraced by all in order to carry out a safe nursing practice. Therefore, becoming ICT compliant is no more an option to stay relevant and alive during this COVID era. This data article presents the outcome of a survey carried out among Moroccan nursing students. This was done with a view to assess their readiness and willingness to accept and use ICT as well as social media for learning and discharging their duties during and after this COVID era. Unified Theory of Acceptance and Use of Technology (UTAUT) model was adopted to structure the questionnaire items used in this survey. This was then administered to Moroccan nursing students via online Google forms. Seven hundred and two (702) respondents completed the questionnaire. After data screening and cleaning, normality assessment of the data was carried out in terms of skewness and kurtosis. Afterwards, Partial Least Square Structural Equation Modeling (PLS-SEM) was employed to establish the statistical significance of the data in terms of the reflective indicator loadings, internal consistency reliability and convergence. This dataset includes the questionnaire used (in English and French), the responses obtained in spreadsheet format, the charts generated from the responses received, the SPSS file and the statistical analysis file. This dataset will help policy makers understand how nursing students use ICT and social media platforms and how these could be adopted as a more secure means of learning and discharging their during the COVID-19 era and beyond. (C) 2021 The Author(s). Published by Elsevier Inc.
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页数:6
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