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Support for Cloud-Based Mobile Learning

Support for Cloud-Based Mobile Learning

Kritika Verma, Sonal Dubey, M. A. Rizvi
ISBN13: 9781466699243|ISBN10: 1466699248|EISBN13: 9781466699250
DOI: 10.4018/978-1-4666-9924-3.ch015
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MLA

Verma, Kritika, et al. "Support for Cloud-Based Mobile Learning." Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes, edited by Lee Chao, IGI Global, 2016, pp. 225-246. https://doi.org/10.4018/978-1-4666-9924-3.ch015

APA

Verma, K., Dubey, S., & Rizvi, M. A. (2016). Support for Cloud-Based Mobile Learning. In L. Chao (Ed.), Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes (pp. 225-246). IGI Global. https://doi.org/10.4018/978-1-4666-9924-3.ch015

Chicago

Verma, Kritika, Sonal Dubey, and M. A. Rizvi. "Support for Cloud-Based Mobile Learning." In Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes, edited by Lee Chao, 225-246. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9924-3.ch015

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Abstract

Cloud based mobile learning (m-learning) is emerging as one of the most important branches of cloud computing, and is still in its infancy. These days, there are two emerging archetypes in Information and Communication Technologies (ICT) for learning. The first one is the anytime, anywhere, on-the-move, to be called the mobility archetype, and the second one is the cloud computing. Both archetypes are radically transforming the way we learn, communicate, access, and utilize information resources, and connect with peers and colleagues, thus affecting all aspects of education. This chapter delivers an introduction of the evolution of cloud based m-learning, benefits and characteristics of cloud based m-learning. It also canvasses the current scenario of m-learning utilizing the cloud, various challenges for implementing the m-learning system on the cloud. It further confers technologies used for cloud based m-learning. It also considers a brief look at methods for creating m-learning content and experiences, suggested by various researchers and concluded with the future aspects of the cloud based m-learning.

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