Improving students’ classroom motivation and learning efficiency based on deep learning

With the rapid development of educational technology, personalized learning and intelligent teaching have become the key to improving students’ learning efficiency and motivation. However, traditional teaching methods are often difficult to adapt to the learning needs of different students, resulting in low student participation and poor learning results. In this paper, from these two main indicators, based on deep learning technology, we construct a classroom learning model based on Transformer. Our model has three major modules, namely, student module, course module, and optimization module, which provide students and teachers with personalized classroom design. Through experimental validation, we have conducted experiments in English and math groups, and the performance is good. Specifically, our model outperforms the traditional model in both English and math teaching. This study not only helps to promote the application and development of educational technology but also has important significance for improving teaching practice and promoting the all-round development of students.