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

Bahri, Hind and El Mlili, Nisrin and Akandec, Oluwatobi Noah and Kerkeb, Abdel-ilah and Madranea, Mourad (2021) Dataset of Moroccan nursing students’ intention to use and accept information and communication technologies and social media platforms for learning. Elsevier, 37 (107230).

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Abstract

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.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	AKINWUMI
Date Deposited:	19 Jun 2023 13:22
Last Modified:	19 Jun 2023 13:22
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/17049

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