Design and Implementation of English Learning Platform Based on Llama3
Year: 2025
Type: conference-paper
Abstract: Artificial intelligence is a promising language learning platform. This paper presents an English learning platform with Llama3 as the core, NLP preprocessing data, and Zhiling plugin performing speech recognition and evaluation. The platform includes Llama3 deep integration, plug-in speech recognition and synthesis, audio processing and friendly UX design. With Llama3, learning platform can provide intelligent situational dialogue practice, simulating real contexts, customized learning content, generating exclusive materials according to user level, accurate feedback on pronunciation, adaptive dynamic learning paths, and adaptive dynamic learning paths for efficient and personalized learning.Home page, dialog, campus English module, and potential learning resources and learning progress tracking module.Homepage is learning mode selection, dialogue module realize intelligent dialogue practice, campus English module focus on oral training, multidimensional interaction. System tests show that learning platform can improve learners’ English listening and speaking skills and vocabulary mastery.Design concept, core technology, functional modules and application effects of platform.Design concept, core technology, functional modules and application effects of platform are summarized in detail. We describe design concept, core technology, functional modules and application effects of platform.[1].
Authors: Jiaheng Li, Nini Wei, Shuhan Yu, Yuting He
Institution: Beibu Gulf University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4412923112