Design of AI-based self-learning platform for college English listening
Junping Zhou
Abstract
Due to the current ineffectiveness of College English listening class, this paper puts forward a design of AI-based self-learning platform aimed at improving students' listening ability with AI assistance. The design concept and operation flow of this AI-based learning platform derive from the current application problems of AI-aided listening platforms for English learning. A survey is conducted to analyze the application characteristics of present AI-aided listening platforms for college English listening. The data analysis of the survey shows that the intelligent listening products have the merits such as rich listening resources, big exercise database and various learning channels. However, there are also some demerits like lack of specific and personalized exercise guidance, too wide material accumulation without logical classification, poor supervision and evaluation system. Based on the application problems, this paper introduces an AI-based self-learning platform for college English listening, which adopts three layer design concept e.g. service layer, technical layer and data layer. The three layers help form the integrated learning circle to improve students' daily self-learning efficiency. This AI-based self-learning platform can provide individual tailored teaching services, such as spontaneous learning help, learning suggestions and evaluations based on core technologies of artificial intelligence. It will create an effective self-learning environment and improve students' English listening proficiency in a better and more effective way.