Publication: Innovative smart phone learning system for graphical systems within covid-19 pandemic
dc.citedby | 15 | |
dc.contributor.author | Tawafak R.M. | en_US |
dc.contributor.author | Alfarsi G. | en_US |
dc.contributor.author | Jabbar J. | en_US |
dc.contributor.authorid | 57201906735 | en_US |
dc.contributor.authorid | 57194571355 | en_US |
dc.contributor.authorid | 57207953692 | en_US |
dc.date.accessioned | 2023-05-29T09:06:52Z | |
dc.date.available | 2023-05-29T09:06:52Z | |
dc.date.issued | 2021 | |
dc.description.abstract | 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. | en_US |
dc.description.nature | Final | en_US |
dc.identifier.ArtNo | ep306 | |
dc.identifier.doi | 10.30935/cedtech/10879 | |
dc.identifier.issue | 3 | |
dc.identifier.scopus | 2-s2.0-85116160677 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116160677&doi=10.30935%2fcedtech%2f10879&partnerID=40&md5=31a41b78199cae128a6c958adfcb53ed | |
dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/26107 | |
dc.identifier.volume | 13 | |
dc.publisher | Anadolu University, Faculty of Communication Sciences | en_US |
dc.relation.ispartof | All Open Access, Hybrid Gold | |
dc.source | Scopus | |
dc.sourcetitle | Contemporary Educational Technology | |
dc.title | Innovative smart phone learning system for graphical systems within covid-19 pandemic | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |