针对目前外语学习软件存在模式固定、缺少语境、个性化不足等问题,设计实现了一款基于大语言模型的多模态智能学习系统。该平台通过个性化学习规划、三模态记忆、AI语境生成针对性练习,构建了一套全面的学习体系,实现了词汇记忆和应用能力的同步提升。经实践应用表明,系统能动态生成高度适配的学习内容及练习,而且具有错题管理及数据分析等功能,可有效提升用户外语学习效果,为外语学习提供了一种新的智能化方法。
Abstract
Aiming at the problems of fixed modes, lack of context, and insufficient personalization in current foreign language learning software, this study designs and implements a multimodal intelligent learning system based on Large Language Models (LLMs). The platform constructs a comprehensive learning system through personalized learning planning, tri-modal memory, and AI context-generated targeted exercises, realizing the simultaneous improvement of vocabulary memorization and application abilities. Practical application results show that the system can dynamically generate highly adaptive learning content and exercises, and is equipped with functions such as error question management and data analysis. It can effectively enhance users' foreign language learning effects and truly provide a new intelligent method for foreign language learning.
关键词
大语言模型 /
多模态 /
智能学习 /
AI语境
Key words
Large Language Model /
multimodality /
intelligent learning /
AI-Generated context
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