Design and Construction of Intelligent Digital English Teaching Mode Based on Multimodal Low-Resource Language Information Processing

Abstract

With the development of information technology, intelligent digital education is gradually emerging. At the same time, with the closer economic and trade relations between regions, the demand for English talents is becoming more and more urgent. Applying the concept and method of intelligent digital education to English Teaching (ET) is of great significance for improving students’ learning efficiency and academic level, and enhancing students’ English application ability and cross-cultural communication ability. However, due to the limitations of the traditional teaching model, such as the single and outdated model, the low interest of students in learning, and the lack of emphasis on cultivating students’ English practical ability, it can not effectively meet the requirements of improving students' learning effect.Therefore, this paper studies the intelligent digital ET mode based on multimodal low-resource language information processing, proposes the construction method of intelligent digital ET mode, and conducts experimental research on it. The research showed that the positive emotional input level index of Group X students was 8.47% higher than that of Group T students; the efficiency index of Group X students was 5.02% higher than that of Group T students; the autonomous learning ability and English learning level of Group X students were higher than those of Group T; the students in Group X had higher recognition of ET mode than those in Group T. The intelligent digital ET mode can effectively improve the learning effect.