A SaaS Framework for Transdisciplinary Collaboration

Chillakanti, Pratap; Gattaz, Cristiane Chaves

doi:10.1109/icsc.2016.86

Cited by 2 publications

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“…Other researchers have documented their experiences when developing e-learning systems (5/43) [183], [188], [207], [212], [215], m-learning systems (mobile) (5/43) [196], [200], [203], [206], [208], and virtual laboratory systems (4/43) [184], [185], [199], [202]. In addition to these studies (30/43) [186], [187], [189]- [195], [197], [198], [201], [204], [205], [209]- [211], [213], [214], [216], [217], [219]- [224], other researches have shared considerably in common and highlighted issues, such as computer-supported collaborative learning platform [222], ontology-driven systems [201], SaaS platform [195], and private clouds [213]. Others have documented teaching and learning networked systems [223],cloud-based web application with integrated robotics [189],cloud-based content cooperation system [218],cloud-based open-test database system [197], and e-Meeting system [217].…”

Section: ) Findings From Previous Attempts To Develop and Implement mentioning

confidence: 99%

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

et al. 2019

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Cloud computing (CC) is a recently developed computing paradigm that can be utilized to deliver everything-as-a-service to various businesses. In higher education institutions (HEIs), CC is rapidly being deployed and becoming an integral part of institution experience. CC adoption in HEIs is accompanied by numerous scientific contributions that address the topic from different perspectives. A systematic review of these heterogeneous contributions, which provide a coherent taxonomy, can be considered interesting for HEIs to identify opportunities to use CC in its own context. Therefore, this systematic literature review aims to analyze existing research on adopting and using CC in HEIs, review background research to develop a coherent taxonomy and provide a landscape for future research on CC in HEIs. The outcomes of this paper include a coherent taxonomy and an overview of the basic characteristics of this emerging field in terms of motivation and barriers of adopting CC in HEIs, existing individual and organizational theoretical models to understand the future requirements for extensively adopting and using CC in HEIs, and factors that influence the adoption of CC in HEIs at individual and organizational levels. Considerable information is available in relation to adopting and using CC in HEIs. This review will enhance this information by offering an in-depth analysis of the existing data to bridge any gap and expand on existing literature.

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Section: ) Findings From Previous Attempts To Develop and Implement mentioning

confidence: 99%

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

et al. 2019

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Education System Using Cloud Computing

Grover,

Nandal

2024

Advances in Business Information Systems and Analytics

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The advancement of technology powering e-learning has brought numerous benefits, including consistency, scalability, cost reduction, and improved usability. However, there are also challenges that need to be addressed. Here are some key considerations for enhancing the technology powering e-learning. Cloud computing has revolutionized the field of e-learning and created tremendous opportunities for education. This chapter proposes a model that harnesses the power of Edu-Cloud computing and cloud machine learning to address the challenges faced in the current online education system. By utilizing these next-generation cloud technologies, teachers can seamlessly share course materials, while students can receive timely updates on examinations, assignments, and other important and teachers can predict the final grade and engagement level of a learner. This chapter presents an overview of how Edu-Cloud computing and cloud machine learning can be integrated into the online education system, highlighting their potential to enhance the teaching.

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A SaaS Framework for Transdisciplinary Collaboration

Cited by 2 publications

References 1 publication

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

Education System Using Cloud Computing

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