Cost benefit analysis of cloud computing in education

Deka, Ganesh Chandra; Borah, Malaya Dutta

doi:10.1109/iccca.2012.6179142

Cited by 63 publications

(25 citation statements)

References 1 publication

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“…This paper aims to examine the factors which influence students' acceptance of CloudIOT in the academic institutions in Libya and propose a framework to study the acceptance of CloudIOT by the academic institutions. It has been established from the analysis of the survey which is conducted by [1] that technological advancements have played an indispensable role in transforming the facade and overall functionality of the education sector. CloudIOT will find a place in various educational environments as many other emerging technologies integrate into the world of the education from the industrial sector.…”

Section: Introductionmentioning

confidence: 99%

Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Ireda¹,

Ben-Mubarak²,

Buhari³

2019

Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

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The combination of Cloud Computing (CC) and Internet of things (IOT) which is known as CloudIOT are two different kinds of technologies that are already part of our lives. The growing usage of CloudIOT in the education sector is changing the Teaching and Learning processes. There is very limited study related to the factors which effect students' acceptance of CloudIOT innovations in an academic institution. The aim of this paper is to illustrate different aspects of CloudIOT and to understand the beneficial impacts of using these technologies in the education sector. Besides, it also examines the factors which influence students' acceptance of CloudIOT in the academic institutions in Libya. This study will develop a conceptual framework (CloudIOT adoption model) based on extending UTAUT2 model.

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Section: Introductionmentioning

confidence: 99%

Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Ireda¹,

Ben-Mubarak²,

Buhari³

2019

Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

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“…Beside the surveys on the students' satisfaction, universities have been given a lot of advices to turn their interests towards cloud computing, since the cloud offers good resource flexibility and scalability, storage, computational requirements, network access, reduced power consumption and lower costs [8], [9], [10]. Ristov et al [11] propose a SOA architecture of a cloud-hosted e-Assessment system which uses scalability and elasticity in order to achieve sustainable performance.…”

Section: Introductionmentioning

confidence: 99%

Intelligent student profiling for predicting e-Assessment outcomes

Simjanoska

Gušev

Ristov

et al. 2014

2014 IEEE Global Engineering Education Conference (EDUCON)

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The main objective of this paper is introducing intelligence in the e-Learning and e-Assessment processes. Therefore, we present an existing adaptive e-Learning and e-Assessment strategies, verify them with machine learning (ML) algorithms, build students Profile and eventually, we present our new model that will be able to estimate the final result of the overall students' work during the semester, taking into account all the learning objectives that the students have passed. Thus, our idea is creating an intelligent agent that will simulate the behavior of a real professor as much as possible.

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“…Private IHL also committed to implement the eLearning because they believe it is effective alternative approach compare to the traditional classroom method for distributing information. The current financial crisis append complication to Private IHL to provide the higher quality of learning service [6].…”

Section: Introductionmentioning

confidence: 99%

The Successful Elements Implementing the eLearning using Cloud Services Data Centre at Private Institution of Higher Learning in Malaysia

Aziz¹,

Widyarto²,

Osman³

et al. 2017

EECSI

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There are a few network environment used for institutions of higher learning for eLearning application. The world financial crises cause institution of higher learning struggling to maintain and update the technologies and infrastructures and try to provide the sufficient budget allocation for the network infrastructure. Cloud Services Data Centre network environment is one of the solution where they does not used physical network technology and infrastructure and cost saving. The purpose of this paper is to identify the success factor elements in implementing the eLearning using Cloud Services Data Centre at Private Institution of Higher Learning in Malaysia. The literature was reviewed and base on the preliminary study a few elements was identified for the success factor elements. The elements are perception, business needs, strategy planning, cost saving, security and vendor capability. Base on the finding the propose framework and hypothesis was derived. To validate the success factor elements of Cloud Services Data Centre the pilot test was been done.

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Cost benefit analysis of cloud computing in education

Cited by 63 publications

References 1 publication

Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Intelligent student profiling for predicting e-Assessment outcomes

The Successful Elements Implementing the eLearning using Cloud Services Data Centre at Private Institution of Higher Learning in Malaysia

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