Cloud Computing

2015 ◽  
Vol 5 (3) ◽  
pp. 32-43 ◽  
Author(s):  
Yulin Yao
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Big Data ◽  
Current Literature ◽  
Emerging Technologies ◽  
Future Directions ◽  
Development Review ◽  
The Past ◽  
New Framework

This paper provides an overview of Cloud Computing between Year 2009 and Year 2015. It presents the past and current literature and practices for Cloud Computing. Literatrue review is undertaken to identify key areas relevant to current Cloud Computing development. Review on frameworks for Cloud computing has also been presented to illustrate the good use of structured and valid framework approaches. Topics of discussion demonstrate that Cloud computing can provide added values not only to businesses but also Higher Education. Future directions and conclusion have been presented and acknowledged, including the development of a new framework. Cloud Computing is concluded to provide better services and integrations with other emerging technologies such as Big Data.

Learning Management System 2.0

Web Services ◽  
2019 ◽  
pp. 2255-2270
Author(s):  
Muhammad Anshari ◽  
Yabit Alas ◽  
Norazmah Yunus ◽  
Norakmarul Ihsan binti Pg Hj Sabtu ◽  
Malai Hayati Sheikh Abdul Hamid ◽  
...  
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Big Data ◽  
Knowledge Management ◽  
Management System ◽  
Learning Management System ◽  
New Paradigm ◽  
Efficiency And Effectiveness ◽  
Main Driver ◽  
Learning Management

The recent adoption of cloud computing, Web 2.0 (web as a platform), and Big Data technologies have become the main driver of the paradigm shift. For higher education, choosing the right platform for a next generation of Learning Management System (LMS) namely LMS 2.0 is becoming more important than choosing a tool in the new paradigm. This chapter discusses factors for higher institution in determining a future direction for its LMS to take advantage of pervasive knowledge management, efficiency and effectiveness of operations. Literature studies have deployed for this study to portray the state of future LMS initiative. We found that the trends of cloud computing and big data will be predominant factor in viewing future LMS adoption and implementation. LMS 2.0 can be a solution to make learning systems in a higher education is flexible in terms of resources adoption, quality of learning, knowledge management, and implementation.

Information Privacy and Emerging Technologies in the UAE

2021 ◽  
pp. 1134-1152
Author(s):  
Dimitrios Xanthidis ◽  
Christos Manolas ◽  
Ourania Koutzampasopoulou Xanthidou ◽  
Han-I Wang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Personal Information ◽  
Local Environment ◽  
Information Privacy ◽  
Paper Briefly ◽  
Related Research ◽  
Research Themes

The rapid developments of emerging technologies, including Big Data, Cloud Computing, and Internet of Things, are causing many societies to struggle whilst trying to keep up with, and adopt them. As a consequence, serious concerns and issues are being raised. The threat to personal information privacy is one of these issues. This review paper briefly introduces the aforementioned technologies and explores concepts related to concerns on information privacy and disclosure in the U.A.E. in the context of these technologies. In addition, related research themes that could be interesting to explore are identified, with a focus on the local environment.

scholarly journals Reframing E-Government Development Indices with Respect to New Trends in ICT

2015 ◽  
Vol 15 (4) ◽  
pp. 383-412 ◽  
Author(s):  
Renáta Máchová ◽  
Martin Lněnička
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Rank Correlation ◽  
Important Indicator ◽  
The Public ◽  
Telecommunication Infrastructure ◽  
Kendall Rank Correlation ◽  
New Framework ◽  
Government Development

Abstract E-government readiness is an important indicator of the quality of a country’s technological and telecommunication infrastructure and the ability of its citizens, businesses and governments to adopt, use and benefit from modern technologies. To measure and compare selected countries, a lot of benchmarking and ranking indices have been introduced since the beginning of the century. With the increasing importance of trends such as cloud computing, open (big) data, participation tools or social media, new indicators and approaches need to be introduced in the measuring of the e-government development, and the existing indices should to be updated, redefined and restructured. Therefore, this article explores the structure of the existing e-government development indices to show the main indicators and trends. Then, it proposes and implements a new framework to evaluate e-government development using these new trends in ICT. It also examines and compares a basic background on the e-government development, benefits and risks of cloud computing, open (big) data and participation tools in the public sector. Based on the newly proposed framework, the e-government development index is calculated for each EU Member State to clearly identify the indicators to have an influence on the e-government development. In the last part, these results are compared to the already existing indices to validate the conformity of the rank methods using Kendall rank correlation coefficient.

scholarly journals Cloud Computing and Its Application in Big Data Processing of Distance Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 55 ◽  
Author(s):  
Guolei Zhang ◽  
Jia Li ◽  
Li Hao
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Distance Education ◽  
Big Data ◽  
Data Processing ◽  
Clustering Algorithm ◽  
Evaluation Method ◽  
Low Cost ◽  
Science And Technology ◽  
Large Data

In the development of information technology the development of scientific theory has brought the progress of science and technology. The progress of science and technology has an impact on the educational field, which changes the way of education. The arrival of the era of big data for the promotion and dissemination of educational resources has played an important role, it makes more and more people benefit. Modern distance education relies on the background of big data and cloud computing, which is composed of a series of tools to support a variety of teaching mode. Clustering algorithm can provide an effective evaluation method for students' personality characteristics and learning status in distance education. However, the traditional K-means clustering algorithm has the characteristics of randomness, uncertainty, high time complexity, and it does not meet the requirements of large data processing. In this paper, we study the parallel K-means clustering algorithm based on cloud computing platform Hadoop, and give the design and strategy of the algorithm. Then, we carry out experiments on several different sizes of data sets, and compare the performance of the proposed method with the general clustering method. Experimental results show that the proposed algorithm which is accelerated has good speed up and low cost. It is suitable for the analysis and mining of large data in the distance higher education.

scholarly journals Instruction Using Social Media in Global Higher Education

2019 ◽  
Vol 3 (1) ◽  
pp. 28
Author(s):  
Robert E. Waller ◽  
Pamela A. Lemoine ◽  
Michael D. Richardson
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Digital Technologies ◽  
Global Learning ◽  
Future Directions ◽  
Media Communication ◽  
The Past ◽  
Use Of Technology ◽  
Personal Use ◽  
Social Media Communication

The technological revolution of the past two decades has changed communication, higher education, and the global society. As a result, there exists a wide gulf between the unlimited use of technology and higher education, particularly with respect to digital communications between professors and students. Web 2.0 digital technologies convey information in a different manner than before and allow for interaction with distance participants. Personal use of digital technologies for social media communication is one thing; social media use by professors for communication with students is another. Both aspects should be examined in detail to determine the future directions for global learning.

scholarly journals International academic franchises: Identifying the benefits of international academic franchise provision

2014 ◽  
Author(s):  
Kevin Pon ◽  
Caroline M. Ritchie
Keyword(s):  
Higher Education ◽  
Case Studies ◽  
Direct Observation ◽  
Current Literature ◽  
Exploratory Study ◽  
Institutions Of Higher Education ◽  
Mutual Cooperation ◽  
Academic Literature ◽  
The Past ◽  
Balanced Model

This paper is an exploratory study of the benefits that institutions of higher education can gain when entering into partnerships of academic franchising, an international activity which has been increasing in popularity over the past few decades. The paper looks at the current literature on academic franchising and then goes on to study, through case studies and direct observation, franchising from the perspective of four different institutions in four different countries. The paper reveals that very often there are multiple benefits to be gained which are not necessarily sought when the institutions enter such partnerships. Contrary to previous academic literature the study also reveals that there is a much greater flow of these benefits from one institution to another and thus provides a new richer model that has changed from the 'parent child' model to that of a more evenly balanced model where both partners are benefiting from mutual cooperation.

Information Privacy and Emerging Technologies in the UAE

2020 ◽  
Vol 11 (2) ◽  
pp. 1-17
Author(s):  
Dimitrios Xanthidis ◽  
Christos Manolas ◽  
Ourania Koutzampasopoulou Xanthidou ◽  
Han-I Wang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Review Paper ◽  
Emerging Technologies ◽  
Personal Information ◽  
Local Environment ◽  
Information Privacy ◽  
Paper Briefly ◽  
Related Research ◽  
Research Themes

The rapid developments of emerging technologies, including Big Data, Cloud Computing, and Internet of Things, are causing many societies to struggle whilst trying to keep up with, and adopt them. As a consequence, serious concerns and issues are being raised. The threat to personal information privacy is one of these issues. This review paper briefly introduces the aforementioned technologies and explores concepts related to concerns on information privacy and disclosure in the U.A.E. in the context of these technologies. In addition, related research themes that could be interesting to explore are identified, with a focus on the local environment.

Learning Management System 2.0

2016 ◽  
pp. 265-279 ◽  
Author(s):  
Muhammad Anshari ◽  
Yabit Alas ◽  
Nor'Azmah Hj Mohd Yunus ◽  
Norakmarul Ihsan binti Pg Hj Sabtu ◽  
Malai Hayati Sheikh Abdul Hamid ◽  
...  
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Big Data ◽  
Knowledge Management ◽  
Management System ◽  
Learning Management System ◽  
New Paradigm ◽  
Efficiency And Effectiveness ◽  
Main Driver ◽  
Learning Management

The recent adoption of cloud computing, Web 2.0 (web as a platform), and Big Data technologies have become the main driver of the paradigm shift. For higher education, choosing the right platform for a next generation of Learning Management System (LMS) namely LMS 2.0 is becoming more important than choosing a tool in the new paradigm. This chapter discusses factors for higher institution in determining a future direction for its LMS to take advantage of pervasive knowledge management, efficiency and effectiveness of operations. Literature studies have deployed for this study to portray the state of future LMS initiative. We found that the trends of cloud computing and big data will be predominant factor in viewing future LMS adoption and implementation. LMS 2.0 can be a solution to make learning systems in a higher education is flexible in terms of resources adoption, quality of learning, knowledge management, and implementation.

scholarly journals Systematic Approach for Development of Knowledge Base in Higher Education

2020 ◽  
Author(s):  
Teba Fadhil Muhsin ◽  
Anjum Zameer Bhat ◽  
Imran Ahmed ◽  
Mohamed Samiulla Khan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Big Data ◽  
Middle East ◽  
Teaching And Learning ◽  
Systematic Approach ◽  
Research Work ◽  
Education Sector ◽  
The Past ◽  
The World

Internet of Things and Big Data are revolutionary technologies bringing innovation in almost every sector. These innovative technologies have of late been implemented in the education sector with significant success in achieving the goal of “education par excellence”. A lot of research has been conducted to yield the benefits of IoT in the education sector and many models have been proposed in the past by various researchers all around the world. This research introduces a systematic manner of collecting the data using sensing devices from various cohorts of students studying at “Middle East College” and how this data can be utilized to infer various postulations related to the enhancement of teaching and learning. Moreover, visualization of the facts that may provide preventive and preemptive capabilities to manage and support them in decision making is also explored in great detail. This research work is an effort to contribute to the development of a strong educational system through innovation and inquiry. This research work is also intended to contribute to developing the foundation of “knowledgebase” for Middle East College.

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