摘要
互联网技术的迅猛发展推动高校语文教学模式的变革,使个性化教学成为可能,文章针对互联网教育资源平台在高校语文个性化教学中的应用展开探讨,着重分析支撑平台运行的核心技术,涵盖云计算技术对教学资源的动态统筹能力、大数据技术在个性化学习中的数据挖掘作用。针对目前高校语文个性化教学显现出的资源碎片化、数据采集维度单一、内容深度和学术性欠缺等问题,文章提出凭借平台整合资源,搭建文学史知识图谱,使知识点呈现体系化;依靠多模态数据分析追踪学生的学习行为模式,精准筛选个性化学习资源;依托云计算和区块链技术去整合学术资源,且借助知识图谱和自然语言处理(NLP)对学术内容审核加以优化,保证教学资源具备权威性与严谨性。
The rapid development of Internet technology has driven significant transformations in the teaching models of Chinese language education in higher education institutions,making personalized instruction increasingly feasible.This paper explores the application of Internet-based educational resource platforms in facilitating personalized Chinese teaching in universities.It focuses on the core technologies that support the operation of such platforms,particularly cloud computing for dynamic resource allocation and big data analytics for personalized learning insights.In response to current challenges in personalized Chinese instruction—such as fragmented resources,limited data collection dimensions,and a lack of depth and academic rigor in content—this study proposes several strategies.These include integrating educational resources through the platform,constructing a knowledge graph of literary history to systematize learning content,utilizing multimodal data analysis to track students’learning behaviors and select personalized resources more accurately,and leveraging cloud computing and blockchain technology to consolidate academic materials.Furthermore,knowledge graph and natural language processing(NLP)techniques are employed to enhance the review of academic content,ensuring the authority and rigor of teaching resources.
作者
张珊珊
Zhang Shanshan(Shandong Huayu University of Technology,Dezhou 253000,China)
出处
《办公自动化》
2025年第16期94-96,共3页
Office Informatization
基金
山东华宇工学院2023年度《大学语文》课程思政示范课程项目。
关键词
互联网
信息技术
语文教学
教育变革
数据采集
Internet
information technology
Chinese language teaching
educational transformation
data collection
