基于在线学习的mooc课程推荐系统

Hanae Aoulad Ali, Chrayah Mohamed, Bouzidi Abdelhamid, Taha El Alami
{"title":"基于在线学习的mooc课程推荐系统","authors":"Hanae Aoulad Ali, Chrayah Mohamed, Bouzidi Abdelhamid, Taha El Alami","doi":"10.1109/JICV53222.2021.9600379","DOIUrl":null,"url":null,"abstract":"Systems that make recommendations One of the most intriguing systems, which allows students to browse or search a big number of possibilities for specific goods related to their interests. Using varied methodologies such as the content-based approach and the collaborative approach, these systems have assisted learners in e-learning in filtering options and selecting information. However, learners have not been totally happy with the offer as a result of these tactics. In this paper, to compensate for the shortcomings of previous approaches, propose a novel clustering-based strategy. The main purpose of this proposed technique is to generate homogeneous groups of learners in order to cover and absorb all of the essential information.","PeriodicalId":448299,"journal":{"name":"2021 XI International Conference on Virtual Campus (JICV)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Course Recommendation System for Moocs Based On Online Learning\",\"authors\":\"Hanae Aoulad Ali, Chrayah Mohamed, Bouzidi Abdelhamid, Taha El Alami\",\"doi\":\"10.1109/JICV53222.2021.9600379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Systems that make recommendations One of the most intriguing systems, which allows students to browse or search a big number of possibilities for specific goods related to their interests. Using varied methodologies such as the content-based approach and the collaborative approach, these systems have assisted learners in e-learning in filtering options and selecting information. However, learners have not been totally happy with the offer as a result of these tactics. In this paper, to compensate for the shortcomings of previous approaches, propose a novel clustering-based strategy. The main purpose of this proposed technique is to generate homogeneous groups of learners in order to cover and absorb all of the essential information.\",\"PeriodicalId\":448299,\"journal\":{\"name\":\"2021 XI International Conference on Virtual Campus (JICV)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XI International Conference on Virtual Campus (JICV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JICV53222.2021.9600379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XI International Conference on Virtual Campus (JICV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JICV53222.2021.9600379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

最有趣的系统之一,它允许学生浏览或搜索大量与他们感兴趣的特定商品的可能性。这些系统使用各种方法,如基于内容的方法和协作方法,帮助学习者在电子学习中过滤选项和选择信息。然而,由于这些策略的结果,学习者并不完全满意。为了弥补以往方法的不足,本文提出了一种新的基于聚类的策略。这种建议的技术的主要目的是产生同质的学习者群体,以便覆盖和吸收所有的基本信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Course Recommendation System for Moocs Based On Online Learning
Systems that make recommendations One of the most intriguing systems, which allows students to browse or search a big number of possibilities for specific goods related to their interests. Using varied methodologies such as the content-based approach and the collaborative approach, these systems have assisted learners in e-learning in filtering options and selecting information. However, learners have not been totally happy with the offer as a result of these tactics. In this paper, to compensate for the shortcomings of previous approaches, propose a novel clustering-based strategy. The main purpose of this proposed technique is to generate homogeneous groups of learners in order to cover and absorb all of the essential information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信