英语单词学习推荐模型在教学改革中的应用研究  

Research on application of English word learning recommendation model in teaching reform

作　　者：胡二娟[1] 刘小强[2] HU Erjuan;LIU Xiaoqiang(Normal School,Sanmenxia Polytechnic,Sanmenxia,Henan 472000,China;School of Information and Media,Sanmenxia Polytechnic,Sanmenxia,Henan 472000,China)

机构地区：[1]三门峡职业技术学院师范学院,河南三门峡472000 [2]三门峡职业技术学院信息传媒学院,河南三门峡472000

出　　处：《计算机应用文摘》2024年第8期5-7,共3页Chinese Journal of Computer Application

摘　　要：在人工智能技术的背景下,文章主要探讨了英语单词学习的推荐方法。其中,建立了1个基于人工智能的英语单词学习推荐模型,该模型利用用户的学习行为数据和单词特征进行训练,旨在为用户提供个性化的单词推荐。实验验证结果显示,相较于传统方法,该模型具有更高的准确性和可靠性,能够有效提升英语单词学习的效果。The article mainly explores the recommendation methods for English word learning in the context of artificial intelligence technology.Among them,an artificial intelligence based English word recommendation model was established,which utilizes user learning behavior data and word features for training,aiming to provide personalized word recommendations for users.The experimental verification results show that compared to traditional methods,this model has higher accuracy and reliability,and can effectively improve the effectiveness of English word learning.

关 键 词：人工智能 英语单词 推荐模型 模型构建 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]