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 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.

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