Attitudes of Educational Media Students towards Employing Digital Transformation Tools in the Field Training and its Relationship to their Cognitive Richness: A Field Study.
Published In: Journal of Public Relations Research Middle East / Magallat Bhut Al-Laqat Al-Amh - Al-Srq Al-Aust, 2024, n. 49. P. 35 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Mohamed Zahry, Hala Ghazally 3 of 3
Abstract
The current study aims to identify the attitudes of educational media students towards employing digital transformation tools in producing media content during their field training period and its reflection on the Cognitive Richness they have. To achieve this, the study was descriptive, based on the survey method in its field part, to survey a sample of educational media students consisting of (495) Single, relying on the electronic questionnaire tool as a tool for collecting data . The study concluded that there is a correlation between the media students’ tendency towards using digital transformation tools and their Cognitive Richness. There is a correlation between the motivations for educational media students’ use of digital transformation tools in their field training, and their level of awareness of digital transformation tools on a scale of the tendency towards employing digital transformation tools. It also demonstrated the relationship between the motivations for educational media students’ use of digital transformation tools in their field training, and their level of awareness of digital transformation tools [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Public Relations Research Middle East / Magallat Bhut Al-Laqat Al-Amh - Al-Srq Al-Aust. 2024/01, Issue 49, p35
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:2314-8721
- Accession Number:176639392
- Copyright Statement:Copyright of Journal of Public Relations Research Middle East / Magallat Bhut Al-Laqat Al-Amh - Al-Srq Al-Aust is the property of Egyptian Public Relation Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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