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Part of the book series: Studies in Computational Intelligence ((SCI,volume 653))

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Abstract

Technology is having an unprecedented impact on education; its future is being shaped by current and emerging technologies that are drastically changing the way in which learning and teaching are experienced. Education is increasingly becoming individualized, customized and more accessible as a result of combining open source technology, the Internet, mobile and multi-faceted technology, virtual learning environments and learning analytic technology. This report reflects on the innovation and the complexities that are currently emerging in education as a result of these technological advancements.

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Acknowledgments

This research was Supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the C-ITRC (Convergence Information Technology Research Center) support program (IITP-2015-H8601-15-1007) supervised by the IITP (Institute for Information & communication Technology Promotion).

This research was also supported by the International Research & Development Pro-gram of the National Research Foundation of Korea (NRF) funded by the Ministry of Scinece, ICT & Future Planning (Grant number: K 2013079410).

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Correspondence to Roger Y. Lee .

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© 2016 Springer International Publishing Switzerland

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Conejar, R.J., Kim, HK., Lee, R.Y. (2016). Opportunities Ahead the Future Mobile Learning. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 653. Springer, Cham. https://doi.org/10.1007/978-3-319-33810-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-33810-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33809-5

  • Online ISBN: 978-3-319-33810-1

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