Collaborative E-learning Environments with Cognitive Computing and Big Data

M. Coccoli, P. Maresca, A. Molinari
{"title":"Collaborative E-learning Environments with Cognitive Computing and Big Data","authors":"M. Coccoli, P. Maresca, A. Molinari","doi":"10.18293/jvlc2019n1-007","DOIUrl":null,"url":null,"abstract":"The actual scenario of e-learning environments and techniques is fast-changing from both the technology side and the users’ perspective. In this vein, applications and services as well as methodologies are evolving rapidly, running after the more recent innovations and thus adopting distributed cloud architectures to provide the most advanced solutions. In this situation, two influential technological factors emerge: the former is cognitive computing, which can provide learners and teachers with innovative services enhancing the whole learning process, also introducing improvements in human-machine interactions; the latter is a new wave of big data derived from heterogeneous sources, which impacts on educational tasks and acts as enabler for the development of new analytics-based models, for both management activities and education tasks. Concurrently, from the side of learning techniques, these phenomena are revamping collaborative models so that we should talk about communities rather than classrooms. In these circumstances, it seems that current Learning Management Systems (LMS) may need a redesign. In this respect, the paper outlines the evolutionary trends of Technology-Enhanced Learning (TEL) environments and presents the results achieved within two experiences carried on in two Italian universities. © 2019 KSI Research h","PeriodicalId":275847,"journal":{"name":"J. Vis. Lang. Comput.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Vis. Lang. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18293/jvlc2019n1-007","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 actual scenario of e-learning environments and techniques is fast-changing from both the technology side and the users’ perspective. In this vein, applications and services as well as methodologies are evolving rapidly, running after the more recent innovations and thus adopting distributed cloud architectures to provide the most advanced solutions. In this situation, two influential technological factors emerge: the former is cognitive computing, which can provide learners and teachers with innovative services enhancing the whole learning process, also introducing improvements in human-machine interactions; the latter is a new wave of big data derived from heterogeneous sources, which impacts on educational tasks and acts as enabler for the development of new analytics-based models, for both management activities and education tasks. Concurrently, from the side of learning techniques, these phenomena are revamping collaborative models so that we should talk about communities rather than classrooms. In these circumstances, it seems that current Learning Management Systems (LMS) may need a redesign. In this respect, the paper outlines the evolutionary trends of Technology-Enhanced Learning (TEL) environments and presents the results achieved within two experiences carried on in two Italian universities. © 2019 KSI Research h
基于认知计算和大数据的协同电子学习环境
从技术方面和用户的角度来看,电子学习环境和技术的实际情况正在迅速变化。在这种情况下,应用程序和服务以及方法都在快速发展,紧跟最新的创新,因此采用分布式云架构来提供最先进的解决方案。在这种情况下,两个有影响的技术因素出现了:前者是认知计算,它可以为学习者和教师提供创新的服务,增强整个学习过程,也引入了人机交互的改进;后者是来自异质来源的新一波大数据,它对教育任务产生了影响,并推动了管理活动和教育任务中基于分析的新模型的发展。同时,从学习技术的角度来看,这些现象正在改变合作模式,因此我们应该谈论社区而不是教室。在这种情况下,当前的学习管理系统(LMS)似乎需要重新设计。在这方面,本文概述了技术增强学习(TEL)环境的演变趋势,并介绍了在两所意大利大学进行的两次经验中取得的成果。©2019 KSI Research
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 求助全文
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