Teaching English in University Visually based On 3D Immersion Technology

The application of visualization technology in education helps to promote information technology in education and enhances learners’ ability to perceive information. Therefore, this study builds an online, self-directed learning visualization teaching system that includes a data input layer, a visualization coding layer, a logical recommendation layer, and a view presentation layer. In addition, to enhance visualization of web data, the teaching system optimizes the visual experience by using the U-Net algorithm and an immersive network with a 3D layout. The results show that for the LIME dataset test, this study’s proposed algorithm obtained the highest mean image entropy at 7.67, which is an improvement of 0.05 and 0.32 over the MBLLEN and RetinexNet algorithms, respectively. Therefore, this algorithm is more advantageous in enhancing the richness of image information. In addition, in the validation of the rationality of the online selfdirected learning model, the visualization technique was fully supported by students, helping them to adapt to the learning system quickly. This indicates that the visualization system proposed in this study is effective in improving students’ self-directed learning skills.