Publication:
Innovative smart phone learning system for graphical systems within covid-19 pandemic

Date
2021
Authors
Tawafak R.M.
Alfarsi G.
Jabbar J.
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Anadolu University, Faculty of Communication Sciences
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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.
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