Knowledge Description Frame of Learning Resources for Recommendation System: From the Perspectives of Learning Psychology

Wenlu Qiu, Jing Du, Fei Li
{"title":"Knowledge Description Frame of Learning Resources for Recommendation System: From the Perspectives of Learning Psychology","authors":"Wenlu Qiu, Jing Du, Fei Li","doi":"10.1109/ICCSE49874.2020.9201686","DOIUrl":null,"url":null,"abstract":"The paper firstly analyzed the three common issues that learners encounter during online learning, namely information disorientation, cognitive overload and discontinuous flow from the perspective of learning psychology in the study. Then, to recommend accurate and essential learning resources to different learners, characteristic information of the learner model in Chinese national standards is extracted. The paper also explained how the characteristic information of learners influences the use and demand of learning resources among different learners as they encounter the aforementioned issues. Finally, the knowledge description frame adding the description of learning suggestion and learners’ characteristic information is constructed, in order that the recommendation of online learning resources can be more efficiently improved. In addition, a vision of how the frame can be applied in K12 educational database is provided.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 15th International Conference on Computer Science & Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE49874.2020.9201686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The paper firstly analyzed the three common issues that learners encounter during online learning, namely information disorientation, cognitive overload and discontinuous flow from the perspective of learning psychology in the study. Then, to recommend accurate and essential learning resources to different learners, characteristic information of the learner model in Chinese national standards is extracted. The paper also explained how the characteristic information of learners influences the use and demand of learning resources among different learners as they encounter the aforementioned issues. Finally, the knowledge description frame adding the description of learning suggestion and learners’ characteristic information is constructed, in order that the recommendation of online learning resources can be more efficiently improved. In addition, a vision of how the frame can be applied in K12 educational database is provided.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
推荐系统学习资源的知识描述框架:基于学习心理学的视角
本文首先从学习心理学的角度分析了学习者在网络学习过程中遇到的三个常见问题,即信息迷失、认知过载和不连续流。然后,提取中国国家标准中学习者模型的特征信息,为不同的学习者推荐准确、必要的学习资源。本文还解释了在遇到上述问题时,学习者的特征信息如何影响不同学习者对学习资源的使用和需求。最后,构建了加入学习建议描述和学习者特征信息的知识描述框架,以便更有效地改进在线学习资源的推荐。此外,本文还提供了如何将该框架应用于K12教育数据库的设想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Introduction of the new Operating System Kernel Internals for the New Metrics for the Performance Prediction on the Clouds Abnormal Event Detection in Video Based on Sparse Representation The Mechanism of Intelligent Technology Reforming Education Based on the Perspective of Embodied Cognitive Theory* Multi-integrated Reform for the Course of Data Structure Intelligent Distribution Platform of Network Shared Resources Based on Cloud Computing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1