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

• Main Authors: Tawafak R.M., Alfarsi G., Jabbar J.
• Other Authors: 57201906735
• Format: Article
• Published: Anadolu University, Faculty of Communication Sciences 2023
• Institution: Universiti Tenaga Nasional

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.