Construction of MALL Vocabulary Acquisition Model from the Perspective of Deep Learning

Abstract

Mobile-assisted language learning (MALL), as an important part of mobile learning, is gradually attracting the attention of scholars. Mobile-assisted language learning is gradually replacing traditional Computer Assisted Language Learning as the dominant approach to Distance Education. The teaching of English vocabulary, as the foundation of language teaching, is often neglected in English teaching, and teachers often leave students to learn words on their own, and students also lack the corresponding theoretical basis and learning mode. Although mobile learning is convenient, its fragmented characteristics lead learners to learn only at a superficial level, and deep learning is difficult to reach. Therefore, this thesis argues that a teaching model specifically designed for deep acquisition of English vocabulary should be designed to provide a channel for learners to acquire vocabulary knowledge at a deep level. Therefore, this thesis designs a five-step model based on deep English vocabulary learning, which corresponds to the process of deep English vocabulary acquisition: 1. Introductory Session; 2. System Construction Session; 4. Practice and Examination System Construction Session; 5. The Construction of Critical Thinking Session. These five steps correspond to the corresponding mobile applications to improve students' deep English vocabulary acquisition. Students' attitudes toward Deep Motive, Deep Strategy, Surface Motive, and Surface Strategy will be tested before the start of the course using the R-SPQ-2F Questionnaire.