Research on the Construction of Mobile Terminal Assisted Language Learning Model Based on Artificial Intelligence Technology

Abstract

This paper aims to construct a mobile terminal-assisted language learning model based on artificial intelligence technology. It provides an overview of the development of language learning research and introduces the evolution from computer-assisted language learning to mobile-assisted language learning. Regarding the characteristics of artificial intelligence technology, this paper explores its learning ability, automation, simulation of human intelligence, multifunctionality, and efficiency. By using AI technologies natural, such as language processing, data-driven learning, intelligent tutoring systems, and chatbots, language learners can access personalized guidance and achieve more efficient learning outcomes. Mobile terminal-assisted language learning offers advantages such as flexibility, easy access to resources, individualized learning, simplified learning content, interactivity, and contextual learning. The significant findings of this study emphasize the advantages of mobile terminal-assisted language learning, including portability, access to authentic materials, interactivity, and collaborative learning. An outlook on the future development of personalized tutoring in language learning is also provided in this paper, which aims to assist the effectiveness and efficiency of language learning.