[1]蒋艳荣,李卫华,杨劲涛.上下文感知驱动的自适应个性化学习及交互[J].智能系统学报,2014,9(1):60-68.[doi:10.3969/j.issn.1673-4785.201304024]
JIANG Yanrong,LI Weihua,YANG Jintao.Adaptive and personalized learning and interaction driven by context-aware computing[J].CAAI Transactions on Intelligent Systems,2014,9(1):60-68.[doi:10.3969/j.issn.1673-4785.201304024]
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JIANG Yanrong,LI Weihua,YANG Jintao.Adaptive and personalized learning and interaction driven by context-aware computing[J].CAAI Transactions on Intelligent Systems,2014,9(1):60-68.[doi:10.3969/j.issn.1673-4785.201304024]
上下文感知驱动的自适应个性化学习及交互
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
9
期数:
2014年第1期
页码:
60-68
栏目:
学术论文—机器学习
出版日期:
2014-02-25
- Title:
- Adaptive and personalized learning and interaction driven by context-aware computing
- Keywords:
- context-aware computing; personalized learning; adaptability; interaction; intelligent tutoring system
- 分类号:
- TP391
- 摘要:
- 根据不同的学习上下文环境提供合适的学习内容、方式和交互, 并在上下文发生变化时进行适应性的调整, 是智能教学系统近年来的研究难点之一。为此, 提出一种上下文感知驱动的具有适应性的个性化学习及交互方法。首先讨论上下文及其对学习与交互过程的作用和影响机制。然后提出一种以知识图为中心的个性化学习, 介绍了学习图的生成算法和操作算子、基于知识图的自适应学习导航及符合用户个性特点和需要的学习序列生成方法。最后对交互行为进行分类, 讨论交互行为的实现。原型系统的应用结果验证了所提方法的可行性和有效性, 在适应性和个性化学习方面能够较好地满足用户的学习需求。
- Abstract:
- Providing appropriate learning contents, learning style and interaction according to the learning contextual environment and adjusting according to its variety are some of the difficulties of the intelligent tutoring system (ITS). Hence an approach to adaptive and personalized learning and interaction driven by context-aware computing is proposed. First, the context and its influence on learning and interaction are discussed. Then an approach to personalized learning centering on the knowledge association map is introduced, including the creation algorithm and operators of the map, the adaptive learning navigation algorithm based on the learning map and the appropriate curriculum sequencing generation in accordance with the user’s personality characteristics and needs are described in detail. The interaction behaviors are classified and how to realize the interaction behaviors is discussed. Finally, we implemented the proposal in a prototype of the learning system, and the application results indicate its feasibility and effectiveness.
- 参考文献/References:
-
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- 相似文献/References:
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LIU Fang,TIAN Feng,LI Xin,et al.A collaborative filtering recommendation method for online learning resources incorporating the learner model[J].CAAI Transactions on Intelligent Systems,2021,16():1117.[doi:10.11992/tis.202009005]
备注/Memo
收稿日期:2013-04-14。
基金项目:国家自然科学基金资助项目(61142012,61171141); 广东省科技计划资助项目(2012B010600014,2012B010500025);广东省创新方法与决策管理系统重点实验室开放课题(2011A060901001-13B).
作者简介:李卫华,女,1957年生,教授,博士,主要研究方向为智能软件、网络信息系统、面向Agent计算等,发表学术论文40余篇,出版著作多部;杨劲涛,男,1971年生,讲师,博士,主要研究方向为Web服务计算、模式识别、医学图像处理技术等,发表学术论文20余篇。
通讯作者:蒋艳荣,男,1976年生,讲师,博士,主要研究方向为机器智能、上下文感知计算、智能交互等。发表学术论文20余篇,其中被SCI检索6篇、EI/ISTP检索10余篇.E-mail:yrjiang@gdut.edu.cn.
更新日期/Last Update:
1900-01-01