Cloud-Based Online Learning Platforms

Bensch, Stefan; Rager, Markus

doi:10.1007/978-3-642-34228-8_16

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Furthermore, as we stated previously, it lessens the burden of maintenance and support from the educational institution to the vendor, allowing them to focus on their core business, also obtaining the latest updates in the system without charge, and sharing key resources using Web 2.0 technology. From a technical perspective (Bensch and Rager, 2012), mechanisms of the e-learning system architecture and the cloud computing infrastructure were examined with respect to stability, balance, efficient usage of resources and the sustainability of the e-learning ecosystem (Dong et al, 2009b).…”

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

confidence: 99%

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%

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

Fernández

Peralta

Benítez

et al. 2014

IJLT

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show abstract

“…[54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70],[7 1], [4], [72], [73], [17], [74], [75], [76], [77], [78], [7], [79], [80], [81], [82], [83], [84], [85], [8 6], [87], [88], [89], [9]. [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101],[10 2],…”

Section: Figure 12 Distribution Of Papers Discussing the Effect Of E-...mentioning

confidence: 99%

“…[21], [22], [157], [25], [33], [35], [37], [163], [41], [45], [1], [51], [52], [55], [59], [60], [61], [62], [63], [68 ], [70], [71], [4], [72], [73], [142], [7], [81], [89], [90], [161], [96], [97], [131], [148], [135], [136], [124], [1 38], [156], [140] General 33 21% [8], [26], [158], [29], [32], [5], [36], [43], [44], [125],…”

Section: E-learning Effectmentioning

confidence: 99%

“…[100], [108] , [113], [124] Philosophical paper 34 22% [21], [22], [25], [26], [28], [158], [33], [35], [37], [45], [48], [50], [128], [160], [51], [59], [60], [61], [62], [64], [65 ], [68], [4], [77], [81], [89], [94], [97], [130], [50], [148], [135], [136], [138] Proposal of solution 7 5% [157], [126], [147], [103], [131], [132], [107] Personal experience 1 1% [49] Validation research 36 23% [27], [29], [31], [34], ...…”

Section: E-learning Effectmentioning

confidence: 99%

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E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and Opportunities

Eljak,

Ibrahim,

Saeed

et al. 2024

IEEE Access

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New technologies drive educational shifts, transforming offline to online learning. This study investigates e-learning and cloud computing integration to understand synergies and their potential impact. The study addresses two primary research questions: the influence of elearning on factors like architecture, software, performance, security, hardware, network, and virtual aspects, and the examination of cloud computing services and models such as SaaS, PaaS, IaaS, and S.O.A. The research aims to provide insights into how e-learning is incorporated in a cloud computing environment. The motivation behind this study is to investigate the intricate relationship between e-learning and cloud computing. By analyzing 154 scientific papers, the study delves into the specifics of this integration, highlighting trends and areas that have received more attention. The study examines e-learning in a cloud computing environment, focusing on architecture (27%), general topics (21%), software (19%), and performance (18%). Virtual environments have fewer security issues, while storage and network focus are more prevalent. Cloud computing services are mainly all services, with software as a service (18%), infrastructure as a service (17%), and platforms as a service (10%). Most studies are based on public clouds (74%), all other models (11%), and hybrid clouds (3%). The study examines elearning integration in cloud computing, highlighting limitations in hybrid and private clouds, specialized infrastructure, and a gap in platforms and infrastructure offerings.

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Sustainability requirements for eLearning systems: a systematic literature review and analysis

Spichkova

Hamilton

2018

Requirements Eng

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Cloud-Based Online Learning Platforms

Cited by 3 publications

References 19 publications

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

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

E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and Opportunities

Sustainability requirements for eLearning systems: a systematic literature review and analysis

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