Development of computer-aided english listening system based on BS architecture

Abstract

In this paper, we study and analyze the computer-aided English listening system, and develop and apply the system using BS architecture. The system is deployed in a way that the front-end and back-end are separated and decoupled from each other. The back-end is programmed with Java language, designed with Model View Controller (MVC) pattern, developed with SSM framework, using Web-Service to provide an interface to realize the connection between modules, and Elasticsearch search engine to provide search services for the system. In the design and development phase, the system was developed based on the functional model constructed in the previous phase, using the English audio-visual tutorials as the basis for learning content and other English listening learning materials as supplementary resources to develop the adaptive learning listening system. Based on adaptive learning theory, constructivism theory, and second language acquisition theory as the main learning ideas, this study uses adaptive testing and learning traces to dynamically record learners’ learning process, and uses algorithms to analyze data and recommend learning paths to design and develop an adaptive learning English listening learning system, aiming to assist in teaching English listening courses at university and provide learners with personalized learning. We aim to provide an ideal environment for personalized learning.