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Beliefs, emotions, and usage of information and communication technologies in distance learning during the COVID-19 pandemic: Health sciences students' perspectives.
Green, Gizell; Shorer, Tali.
  • Green G; Nursing Department, Ariel University, Ariel city, Israel.
  • Shorer T; Nursing Department, Ariel University, Ariel city, Israel.
Digit Health ; 8: 20552076221131188, 2022.
Article in English | MEDLINE | ID: covidwho-2079357
ABSTRACT

Objectives:

First, to examine Health Sciences students' discipline, educational level, number of online courses taken, and emotions regarding distance learning; second, to explore a model in which information and communication technologies' (ICT) beliefs serve as mediators among ICT's emotions and ICT usage.

Methods:

This is a cross-sectional study. Participants consisted of 210 students from the School of Health Sciences at the University. Perceptions toward ICTs in Teaching-Learning Process Scale and Computer Emotion Scale were used.

Results:

Nursing students report significantly more ICT-related negative emotions than Management of Health Systems students. Students who took a low or medium number of online courses report significantly more ICT-related positive emotions than students who took a high number of online courses. In addition, ICT-related beliefs did not mediate the effects of ICT-related positive emotions and ICT usage but did mediate ICT-related negative emotions and ICT usage.

Conclusions:

The digital tools in online courses should be appropriately combined with the learning method, and course content. It requires not only a solid technical foundation but also an educational mentality, as well as an adjustment period.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Digit Health Year: 2022 Document Type: Article Affiliation country: 20552076221131188

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Digit Health Year: 2022 Document Type: Article Affiliation country: 20552076221131188