Transforming Educational Institutions: Harnessing the Power of Internet of Things, Cloud, and Fog Computing

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Future Internet Pub Date : 2023-11-13 DOI:10.3390/fi15110367
Afzal Badshah, Ghani Ur Rehman, Haleem Farman, Anwar Ghani, Shahid Sultan, Muhammad Zubair, Moustafa M. Nasralla
{"title":"Transforming Educational Institutions: Harnessing the Power of Internet of Things, Cloud, and Fog Computing","authors":"Afzal Badshah, Ghani Ur Rehman, Haleem Farman, Anwar Ghani, Shahid Sultan, Muhammad Zubair, Moustafa M. Nasralla","doi":"10.3390/fi15110367","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT), cloud, and fog computing are now a reality and have become the vision of the smart world. Self-directed learning approaches, their tools, and smart spaces are transforming traditional institutions into smart institutions. This transition has a positive impact on learner engagement, motivation, attendance, and advanced learning outcomes. In developing countries, there are many barriers to quality education, such as inadequate implementation of standard operating procedures, lack of involvement from learners and parents, and lack of transparent performance measurement for both institutions and students. These issues need to be addressed to ensure further growth and improvement. This study explored the use of smart technologies (IoT, fog, and cloud computing) to address challenges in student learning and administrative tasks. A novel framework (a five-element smart institution framework) is proposed to connect administrators, teachers, parents, and students using smart technologies to improve attendance, pedagogy, and evaluation. The results showed significant increases in student attendance and homework progress, along with improvements in annual results, student discipline, and teacher/parent engagement.","PeriodicalId":37982,"journal":{"name":"Future Internet","volume":"57 8","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/fi15110367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The Internet of Things (IoT), cloud, and fog computing are now a reality and have become the vision of the smart world. Self-directed learning approaches, their tools, and smart spaces are transforming traditional institutions into smart institutions. This transition has a positive impact on learner engagement, motivation, attendance, and advanced learning outcomes. In developing countries, there are many barriers to quality education, such as inadequate implementation of standard operating procedures, lack of involvement from learners and parents, and lack of transparent performance measurement for both institutions and students. These issues need to be addressed to ensure further growth and improvement. This study explored the use of smart technologies (IoT, fog, and cloud computing) to address challenges in student learning and administrative tasks. A novel framework (a five-element smart institution framework) is proposed to connect administrators, teachers, parents, and students using smart technologies to improve attendance, pedagogy, and evaluation. The results showed significant increases in student attendance and homework progress, along with improvements in annual results, student discipline, and teacher/parent engagement.
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
转型教育机构:利用物联网、云和雾计算的力量
物联网(IoT)、云和雾计算现在已经成为现实,并成为智能世界的愿景。自主学习方法、工具和智能空间正在将传统机构转变为智能机构。这种转变对学习者的参与、动机、出勤率和高级学习成果都有积极的影响。在发展中国家,高质量教育存在许多障碍,例如标准操作程序的实施不足,学习者和家长缺乏参与,以及对机构和学生缺乏透明的绩效衡量。这些问题需要得到解决,以确保进一步的增长和改进。本研究探讨了智能技术(物联网、雾和云计算)的使用,以解决学生学习和管理任务中的挑战。提出了一个新的框架(五要素智能机构框架),通过智能技术将管理人员、教师、家长和学生联系起来,以提高出勤率、教学方法和评估。结果显示,学生出勤率和作业进度显著提高,年度成绩、学生纪律和教师/家长参与度也有所改善。
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
Future Internet
Future Internet Computer Science-Computer Networks and Communications
CiteScore
7.10
自引率
5.90%
发文量
303
审稿时长
11 weeks
期刊介绍: Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.
期刊最新文献
Controllable Queuing System with Elastic Traffic and Signals for Resource Capacity Planning in 5G Network Slicing Internet-of-Things Traffic Analysis and Device Identification Based on Two-Stage Clustering in Smart Home Environments Resource Indexing and Querying in Large Connected Environments An Analysis of Methods and Metrics for Task Scheduling in Fog Computing Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation
×
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