scholarly journals The Impact of Cloud Computing Technologies in E-learning

2013 ◽  
Vol 8 (S1) ◽  
Author(s):  
Hosam Farouk El-Sofany
Keyword(s):  
Cloud Computing ◽  
Computing Technologies ◽  
E Learning ◽  
The Impact

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luyan Teng ◽  
Qinyi Tan ◽  
Ali Ehsani
Keyword(s):  
Cloud Computing ◽  
Learning System ◽  
Educational Institutions ◽  
Cultural Characteristics ◽  
Content Type ◽  
Learning Platform ◽  
E Learning ◽  
Training Courses ◽  
The Impact ◽  
The Relationship

PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.

scholarly journals Information and Communications Technology in the Professional Training of Future Professionals in the Field of Culture and Art

2021 ◽  
Vol 12 (3) ◽  
pp. 134-153
Author(s):  
Oleksii Rohotchenko ◽  
Tetyana Zuziak ◽  
Svitlana Kizim ◽  
Svitlana Rohotchenko ◽  
Oleksandr Shynin
Keyword(s):  
Cloud Computing ◽  
Professional Training ◽  
Professional Competence ◽  
Text Messages ◽  
Educational Process ◽  
Information And Communications Technology ◽  
The Self ◽  
Professional Activity ◽  
Computing Technologies ◽  
E Learning

The article deals with the self-education of future specialists in the field of culture and art within the context of philosophical, psychological, and pedagogical studies of the postmodern era. This substantiates the need to use e-learning in professional training. The use of cloud computing technologies is one of the educational process’ innovations. As shown by our research and personal experience implementing cloud computing technologies into the educational process proves to be feasible for training future professionals in the field of culture and art, including their self-education. The article shows that the aim of self-education of the future professionals in the field of culture and art is personal and professional perfection, and also achievement, at the maximum possible level, of the creative ideal. Today their professional training is focused on self-perfection, ability to self-educate, skill to foresee the consequences of their professional activity and search for the new ways to solve their professional tasks using ICT. The article justifies that cloud computing technologies allow spreading content in the Internet, they facilitate posting the text messages, photographs, pictures and musical files. Accessibility, openness, interactivity of the cloud computing technologies cause their wide use for both on-line and off-line communication, data sharing of text, multimedia and audio resources for all participants of the educational process that enriches the self-education of future professionals in the field of culture and art and makes it rich in content, practically-oriented and enhances professional competence. The article concludes that e-learning best meets methodological requirements of the postmodern society.

A new model for evaluating the effect of cloud computing on the e-learning development

2019 ◽  
Vol 31 (5) ◽  
pp. 324-344 ◽  
Author(s):  
Lila Rajabion ◽  
Karzan Wakil ◽  
Arshad Badfar ◽  
Mohammad Nazif ◽  
Ali Ehsani
Keyword(s):  
Cloud Computing ◽  
Learning Process ◽  
Cloud Services ◽  
Content Type ◽  
E Learning ◽  
Learning Development ◽  
Qualitative Methodologies ◽  
The Impact ◽  
The Relationship

Purpose Despite the importance of investigating the impact of cloud computing on the e-learning process, the relationship development between the two is not examined well. Thus, the main goal of this research is to assess how to improve the e-learning process by using cloud services. This paper aims to attempt to investigate the impact of cloud computing on e-learning development. Design/methodology/approach The paper is based on both quantitative and qualitative methodologies. For review-related work and statistical analysis of questionnaires, the SPSS 22 and SMART-PLS 3.2 software package are used. Findings The results from the study show that e-learning development is significantly influenced by the quality of services, cloud features, university readiness and users’ readiness. Originality/value The adoption of cloud technology within an instructional environment has the capacity of offering new opportunities for improvement and innovation for gaining knowledge of the process.

scholarly journals Cloud Computing of E-learning

2018 ◽  
Vol 12 (8) ◽  
pp. 11 ◽  
Author(s):  
Tamara Almarabeh ◽  
Yousef Kh. Majdalawi
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Learning System ◽  
Educational Institutions ◽  
Strong Trend ◽  
Information And Communication ◽  
E Learning ◽  
The Cost ◽  
The Impact

With considerable improvement in Information and Communication Technology (ICT) field, many areas of our lives have been affected, including the learning environmentE-learning is one such inventions and is linked to the use of electronic methods to support the E-learning process, which has become increasingly popular and has become a strong trend due to the enormous benefits it offers to learning environments. However, E-learning systems and its management require huge investments in information technology, and many educational institutions don't have enough budget to afford the cost, therefore cloud computing is the finest solution. It provides an effective mechanism which can allow of building a new mode of E-learning system. This paper, discusses the features of the E-learning system, describes the strategy of Cloud computing, and analyzes the impact of using Cloud Computing in E-learning.

scholarly journals The Impact of Cloud Computing on the IT Support Function

2022 ◽  
pp. 1-17
Author(s):  
Maryam Rezaeian ◽  
Martin George Wynn
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Support Function ◽  
Cloud Migration ◽  
Wide Range ◽  
It Support ◽  
E Learning ◽  
Teaching Learning ◽  
The University ◽  
The Impact

The development of digital technologies has opened up new opportunities for e-learning in higher education. These technologies include cloud computing, which promises a scalable and reliable computing environment for both staff and students. This has not only changed the teaching, learning, and research environment, but also affected the way IT support services must now operate in the university sector. This chapter investigates the adoption of cloud computing in higher education through a case study of a major UK university and focuses on how this has affected the IT support function. The benefits and challenges of implementing cloud computing are explored, using questionnaires and interviews to generate data and analysis. The chapter concludes that cloud migration is a complex undertaking requiring a robust strategy that pays due attention to a wide range of issues, notably security concerns and the need for reskilling and the development of new support roles.

Automated system for creating training programs for mass professional users

2020 ◽  
pp. 21-27
Author(s):  
V.K. Grigoriev ◽  
A.A. Biryukova ◽  
A. Yu. Volk ◽  
A.S. Ilyushechkin
Keyword(s):  
Experimental Verification ◽  
Training Programs ◽  
Automated System ◽  
Software Product ◽  
Learning Programs ◽  
E Learning ◽  
The Creation ◽  
The Impact

The article discusses the automation of the creation and use of e-learning programs. The impact of automating the learning of a large number of users on the effectiveness of the introduction of a new software product is analyzed. The methods and algorithms that increase the efficiency of creating electronic training programs on example of the author’s automated system “Tutor Builder” are described. The results of experimental verification of the automated system are provided.

Decomposition of tasks in a group of robots using cloud computing technologies

2017 ◽  
Vol 12 (1) ◽  
pp. 83-88
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Cloud Computing ◽  
Experimental Verification ◽  
Decomposition Algorithms ◽  
Complex Task ◽  
Large Problem ◽  
Working Capacity ◽  
Linear Distribution ◽  
Effective Teams ◽  
Computing Technologies

In this paper, various variants of decomposition of tasks in a group of robots using cloud computing technologies are considered. The specifics of the field of application (teams of robots) and solved problems are taken into account. In the process of decomposition, the solution of one large problem is divided into a solution of a series of smaller, simpler problems. Three ways of decomposition based on linear distribution, swarm interaction and synthesis of solutions are proposed. The results of experimental verification of the developed decomposition algorithms are presented, the working capacity of methods for planning trajectories in the cloud is shown. The resulting solution is a component of the complex task of building effective teams of robots.

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