Innovative smart phone learning system for graphical systems within covid-19 pandemic
With restrictions on face-to-face clinical consultations within the COVID-19 pandemic and the challenges faced by healthcare systems in delivering patient care, alternative information technologies like telemedicine and smartphones play a crucial role. A wide variety of smartphone applications emplo...
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Anadolu University, Faculty of Communication Sciences
2023
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| author | Tawafak R.M. Alfarsi G. Jabbar J. |
| author2 | 57201906735 |
| author_facet | 57201906735 Tawafak R.M. Alfarsi G. Jabbar J. |
| author_sort | Tawafak R.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | With restrictions on face-to-face clinical consultations within the COVID-19 pandemic and the challenges faced by healthcare systems in delivering patient care, alternative information technologies like telemedicine and smartphones play a crucial role. A wide variety of smartphone applications employs high-tech mathematical and programming approaches to enhance computer-assisted communication and learning processes� pedagogical efficiency. Accordingly, this study�s main objective is to develop a model system that can function as smartphone computer graphics. This paper used the Technology Acceptance Model (TAM) as an m-learning model, and Bresenham�s line algorithm is a calculation system implemented by applications. The study method applies technology to validate the accuracy of the contents� acceptance method of use. The results reveal significant positive effects of the proposed model on generating reasonable, fast, and accurate solutions for the presented problems and developing a more interactive platform of m-learning. � 2021 by the authors; licensee CEDTECH by Bastas. |
| format | Article |
| id | my.uniten.dspace-26107 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Anadolu University, Faculty of Communication Sciences |
| record_format | dspace |
| spelling | my.uniten.dspace-261072023-05-29T17:06:52Z Innovative smart phone learning system for graphical systems within covid-19 pandemic Tawafak R.M. Alfarsi G. Jabbar J. 57201906735 57194571355 57207953692 With restrictions on face-to-face clinical consultations within the COVID-19 pandemic and the challenges faced by healthcare systems in delivering patient care, alternative information technologies like telemedicine and smartphones play a crucial role. A wide variety of smartphone applications employs high-tech mathematical and programming approaches to enhance computer-assisted communication and learning processes� pedagogical efficiency. Accordingly, this study�s main objective is to develop a model system that can function as smartphone computer graphics. This paper used the Technology Acceptance Model (TAM) as an m-learning model, and Bresenham�s line algorithm is a calculation system implemented by applications. The study method applies technology to validate the accuracy of the contents� acceptance method of use. The results reveal significant positive effects of the proposed model on generating reasonable, fast, and accurate solutions for the presented problems and developing a more interactive platform of m-learning. � 2021 by the authors; licensee CEDTECH by Bastas. Final 2023-05-29T09:06:52Z 2023-05-29T09:06:52Z 2021 Article 10.30935/cedtech/10879 2-s2.0-85116160677 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116160677&doi=10.30935%2fcedtech%2f10879&partnerID=40&md5=31a41b78199cae128a6c958adfcb53ed https://irepository.uniten.edu.my/handle/123456789/26107 13 3 ep306 All Open Access, Hybrid Gold Anadolu University, Faculty of Communication Sciences Scopus |
| spellingShingle | Tawafak R.M. Alfarsi G. Jabbar J. Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title | Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title_full | Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title_fullStr | Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title_full_unstemmed | Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title_short | Innovative smart phone learning system for graphical systems within covid-19 pandemic |
| title_sort | innovative smart phone learning system for graphical systems within covid-19 pandemic |
| url_provider | http://dspace.uniten.edu.my/ |