Navigating the Educational Cloud

Boyatt, Russell; Sinclair, Jane

doi:10.1007/978-3-642-30859-8_17

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…The use of cloud computing in education has great potential, as can be observed from the number of educational institutions that have implemented these systems already (Boyatt and Sinclair, 2012;Sultan, 2009). For example, in the USA 27% of schools make use of cloud facilities (CDW-G, 2011).…”

Section: On the Suitability Of Cloud Computing For E-learningmentioning

confidence: 99%

“…Finally, although little is yet to be found concerning cloud-related pedagogies or evaluating learning (Stein et al, 2013), from an academic point of view, one of the positive features of the cloud is its accessibility (Geith, 2008), since it is specifically designed to enable users to work from anywhere at any time. Additionally, it has the potential to offer more material to a wider range of learners in a greater variety of contexts, as it has the ability to reach more students beyond the traditional classroom (Boyatt and Sinclair, 2012;Wolsey, 2008) and meeting their expectations (Katz, 2008).…”

Section: On the Suitability Of Cloud Computing For E-learningmentioning

confidence: 99%

“…The drawback in this area is that there are few reports which provide a specific treatment of the matter. Instead, in the literature, the general attributes of the cloud are related to social interaction and collaborative working (Boyatt and Sinclair, 2012). For example, Blau and Caspi (2009) investigate students' perceptions of quality and ownership with respect to different modes of collaboration within Google Docs.…”

Section: Studies and Applications Of Cloud Computing For E-learningmentioning

confidence: 99%

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E-learning and educational data mining in cloud computing: an overview

Fernández

Peralta

Benítez

et al. 2014

IJLT

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E-learning is related to virtualised distance learning by means of electronic communication mechanisms, using its functionality as a support in the process of teaching-learning. When the learning process becomes computerised, educational data mining employs the information generated from the electronic sources to enrich the learning model for academic purposes. To provide support to e-learning systems, cloud computing is set as a natural platform, as it can be dynamically adapted by presenting a scalable system for the changing necessities of the computer resources over time. It also eases the implementation of data mining techniques to work in a distributed scenario, regarding the large databases generated from e-learning. We give an overview of the current state of the structure of cloud computing, and we provide details of the most common infrastructures that have been developed for such a system. We also present some examples of e-learning approaches for cloud computing, and finally, we discuss the suitability of this environment for educational data mining, suggesting the migration of this approach to this computational scenario.

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Section: On the Suitability Of Cloud Computing For E-learningmentioning

confidence: 99%

Section: On the Suitability Of Cloud Computing For E-learningmentioning

confidence: 99%

Section: Studies and Applications Of Cloud Computing For E-learningmentioning

confidence: 99%

See 1 more Smart Citation

E-learning and educational data mining in cloud computing: an overview

Fernández

Peralta

Benítez

et al. 2014

IJLT

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“…Relevant data was given to student for learning based on his/her understanding of basic concepts. But, this work does not explain any involvement of cloud computing .…”

Section: Knowledge Basementioning

confidence: 77%

A commercial, benefit driven and secure framework for elearning in cloud computing

Sandhu

Sood

2015

Comp Applic In Engineering

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Today's industry demands well‐equipped engineers with practical as well as theoretical knowledge. Providing specialization courses is need of an hour but decline in teacher to student ratio in universities and educational institutions is big hurdle in this vision. Elearning is an ideal solution to this engineering education problem. Traditional elearning platforms are less efficient and prone to sudden failures. In this paper, a cloud‐based commercial and benefit driven elearning system is proposed which has multiple education service providers and separate end user's needs. Proposed system designing and initial assessment is done using Design Science Research (DSR) approach. DSR studies already available knowledge base and formulate requirements of a commercial elearning system. Proposed framework has layered structure consisting of five layers where each layer is dedicated for a specific task. User layer handles all user interactions, management layer manages cloud resources by accurate prediction and cost calculation, security layer provides secure access to data stored on archive layer, archive layer is responsible for proper indexing and storage of data, finally resource layer manages underline hardware of cloud system. Proposed framework is tested against MyGuru2, results indicates that proposed framework is cost effective and provides better QoS requirements. © 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:499–513, 2015; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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“…One of the most important characteristics of LOs that are aiming to be shared and reused is the granularity of the content [9]. Granularity alludes to the learning time required to commit to a given LO and it is corresponding to the span of the LO.…”

Section: Lo Granularity and Indented Learning Outcomesmentioning

confidence: 99%

A Systematic Mapping Study of Cloud E-Learning Computing for Education

Akram¹,

Kumar²

2018

IJCA

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This paper examines the cloud computing for education (CCE) literature, and analyzes if the research is developing scientifically with adequate empirical validation. All aspects of empirical investigations covered in the literature are shown as weak, hence, the necessary scientific development of CCE requires extending its scope of interest, and involving scholars synergistically to create and maintain a "common research agenda". Differences are found across geographic areas in applying CCE infrastructure and technologies in educational institutions; few studies address CCE's impact on pedagogic processes. The scope of interest in CCE is only partially covered; with empirical research being very shallow. Suggestions are made for more effective research on concerning the production and use of content.

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Navigating the Educational Cloud

Cited by 7 publications

References 21 publications

E-learning and educational data mining in cloud computing: an overview

E-learning and educational data mining in cloud computing: an overview

A commercial, benefit driven and secure framework for elearning in cloud computing

A Systematic Mapping Study of Cloud E-Learning Computing for Education

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