数据分析下基于深度学习的高中英语课程资源推荐  

High school English course resource recommendation based on deep learning based on data analysis

作　　者：韦玮 WEI Wei(No.8 Middle School of Quanjiao County,Chuzhou,Anhui 239500,China)

机构地区：[1]全椒县第八中学,安徽滁州239500

出　　处：《计算机应用文摘》2025年第8期11-13,共3页

摘　　要：在个性化学习日益受到重视的背景下,文章从数据分析和深度学习的视角,聚焦高中英语教育领域,分析了学生学情差异和学习需求多样化的现状与挑战。在梳理国内外相关研究成果的基础上,文章构建了基于深度学习的个性化课程资源推荐模型,并探讨了推荐结果在教学实践中的应用路径,提出优化个性化教学内容设计、自适应学习路径规划、智能教学辅助系统构建、个性化学习效果评估与反馈等策略建议,旨在推进高中英语教育的智能化变革、促进学生英语核心素养的培育。In the context of the increasing importance of personalized learning,this paper focuses on the field of high school English education from the perspective of data analysis and deep learning,and analyzes the current situation and challenges of students̓learning differences and diversified learning needs.On the basis of combing relevant research results at home and abroad,this paper constructs a personalized course resource recommendation model based on deep learning,discusses the application path of the recommendation results in teaching practice,and puts forward strategic suggestions such as optimizing personalized teaching content design,adaptive learning path planning,intelligent teaching assistance system construction,personalized learning effect evaluation and feedback.It aims to promote the intelligent reform of senior high school English education and the cultivation of students̓English core qualities.

关 键 词：数据分析 深度学习 高中英语课程资源 

分 类 号：G633[文化科学—教育学]