• 首页
  • 期刊简介
  • 编委会
  • 投稿指南
  • 收录情况
  • 杂志订阅
  • 联系我们
引用本文:冯旭光,张 峰.个性化习题路径推荐方法研究综述[J].软件工程,2023,26(4):1-4.【点击复制】
【打印本页】   【下载PDF全文】   【查看/发表评论】  【下载PDF阅读器】  
←前一篇|后一篇→ 过刊浏览
分享到: 微信 更多
个性化习题路径推荐方法研究综述
冯旭光,张 峰
(山东科技大学计算机科学与工程学院,山东 青岛 266590)
1812553272@qq.com; zhangfengsdkd@163.com
摘 要: 个性化习题路径推荐技术能够综合考虑学习者的个性化特征,为学习者量身定制习题路径。文章系统地梳理了个性化习题路径推荐研究工作。首先,从推荐方式的角度,介绍了全局最优习题路径推荐和局部迭代习题路径推荐方法,总结了两类推荐方法的优势及其存在的问题。然后,从目前个性化习题路径推荐工作使用较多的核心算法的角度,介绍了基于协同过滤、认知诊断、知识追踪、深度学习和强化学习五类方法。最后,探讨了该领域当前的研究难点,并展望未来研究工作的方向。
关键词: 习题路径推荐;个性化;全局最优路径;局部迭代路径;推荐算法
中图分类号: TP391    文献标识码: A
基金项目: 山东科技大学青年教师教学拔尖人才培养项目(BJ20200505);山东省教育科学“十四五”规划课题(2021YB028);山东科技大学优秀教学团队建设计划资助项目(JXTD20180503).
A Research Overview of Personalized Exercise Path Recommendation Methods
FENG Xuguang, ZHANG Feng
(College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China )
1812553272@qq.com; zhangfengsdkd@163.com
Abstract: The personalized exercise path recommendation technology can take into account the individual characteristics of learners and customize the exercise path for them. In this paper, the research work on personalized exercise path recommendation is systematically reviewed. First of all, from the perspective of recommendation methods, the global optimal exercise path recommendation and local iterative exercise path recommendation methods are introduced, and the advantages and problems of the two types of recommendation methods are summarized. Then, from the perspective of the core algorithms that are widely used in the current personalized exercise path recommendation work, five methods are introduced, which are based on collaborative filtering, cognitive diagnosis, knowledge tracking, in-depth learning and reinforcement learning. Finally, current research difficulties in this field are discussed, and the future research directions are prospected.
Keywords: exercise path recommendation; personalized; global optimal path; local iterative path; recommendation algorithm


版权所有:软件工程杂志社
地址:辽宁省沈阳市浑南区新秀街2号 邮政编码:110179
电话:0411-84767887 传真:0411-84835089 Email:semagazine@neusoft.edu.cn
备案号:辽ICP备17007376号-1
技术支持:北京勤云科技发展有限公司

用微信扫一扫

用微信扫一扫