Innovation in Teaching Method Using Visual Communication under the Background of Big Data and Artificial Intelligence

Abstract

The iterative update of artificial intelligence (AI) is resulting in the development of new educational concepts, methodologies, and methods. Taking as a starting point, the contemporary visual communication design is largely influenced by artificial intelligence's techniques, design methods, and display methods. Moreover, combining the possibilities brought by artificial intelligence's characteristics to the teaching mode will be of great interest in teaching innovations. Similarly, integrating and deepening the innovation of teaching modes, and making artificial intelligence a teaching mode is more beneficial to teachers and student. Subsequently, this gives full play to the benefits in visual communication design and education in order to change and upgrade to intelligent visual communication design teaching techniques. Therefore, it is also crucial to investigate the use of visual communication design in the teaching process. This paper also offers while studying the innovation of visual communication design education techniques, a deep understanding of the AI technology and big data. Under the restrictions of visual communication, the virtual reconstruction approach of 3D images may effectively tackle the problem of an unstable pixel extraction process induced by pixel loss. Our empirical evaluation shows that the proposed method is superior to that of the other state-of-the-art techniques.