人工智能技术在高考志愿填报中的个性化推荐:技术实现与前景展望  

Personalized Recommendation in College Entrance Examination Enrollment:Technology Implementation and Prospects

作　　者：王威[1] Wang Wei(Yangtze University,Jingzhou,Hubei 434042,China)

机构地区：[1]长江大学,湖北荆州434042

出　　处：《湖北招生考试》2024年第6期24-29,共6页Enrollment and Examination in Hubei

摘　　要：探讨人工智能技术在高考志愿填报过程中的应用及其带来的影响。通过人工智能技术,个性化推荐系统为学生提供定制化的高校和专业选择建议,基于数据驱动的决策支持提供历年高考录取数据的深入分析,帮助学生做出更明智的决策。然而,过度依赖人工智能可能带来风险,包括个性化服务深度不均等、技术接入差异、数据隐私与安全问题等。解决这些问题需要提高信息素养、加强系统透明度、减少数据收集等措施。This paper explores the application of artificial intelligence technology in the process of college entrance examination enrollment and its impact.Through AI technology,personalized recom⁃mendation systems provide students with customized advice on college and major selection,and based on data-driven decision support,offer in-depth analysis of historical college entrance examination en⁃rollment data to help students make wiser decisions.However,the article also points out the risks that excessive reliance on AI may bring,including uneven depth of personalized services,differences in technology access,and issues of data privacy and security.Addressing these issues requires improv⁃ing information literacy,enhancing system transparency,and reducing data collection.

关 键 词：人工智能技术 高考志愿填报 个性化推荐系统 数据驱动决策支持 教育平等 

分 类 号：G40[文化科学—教育学原理]