Continual Construction of Adaptive Learning Model for English Vocabulary Using Machine Learning and Virtual Reality

被引：0

作者：

Hui L. ^{[1
]}

机构：

[1] Institute of Foreign Language and Tourism, Henan Institute of Economy and Trade, Zhengzhou

来源：

Computer-Aided Design and Applications | 2023年 / 20卷 / S14期

关键词：

adaptive learning model; Virtual Reality; English vocabulary; machine learning;

D O I：

10.14733/cadaps.2023.S14.1-15

中图分类号：

学科分类号：

摘要：

An adaptive learning model for English vocabulary through a machine learning is proposed in this paper. The four main types of user information, including basic student information, quiz information, course video viewing information, and forum interaction information, are processed through feature engineering, and a better model on sparse data is proposed through comparison on different models, and the prediction accuracy of the model is improved through natural language processing techniques, to achieve feedback on user learning efficiency through user data and provide teachers and students with the corresponding teaching and learning suggestions for teachers and students. It is found that the quiz information has more influence than the course video viewing information, and the accuracy is improved by about 3% compared with TF-IDF after introducing word embedding. The use of mobile for English learners to learn to read in a fragmented learning context enables targeted training in weak areas of English reading, thus improving different aspects of learners' reading skills. © 2023 CAD Solutions, LLC.

引用

页码：1 / 15

页数：14

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