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Future Trends of Smart Learning: Chinese Perspective

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Smart Learning in Smart Cities

Part of the book series: Lecture Notes in Educational Technology ((LNET))

Abstract

This chapter outlines the developmental trends of smart learning in China, and offers suggestions for the government how to promote smart learning industry in the long term. Firstly, the author discusses smart learning environment in China from the perspective of research and practice, as well as current changes in educational system. The impact of information revolution on smart learning is analyzed from the perspective of learning society, learning behavior, mobile learning, smart city and learning innovation. Finally, the future trends of smart learning are discussed in the context of integration with “Internet+”, reconstructing the structural of learning, reconstructing learning environments, reforming online education, and upgrading smart learning. The chapter closes with suggestions how to further promote the development of smart learning.

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Notes

  1. 1.

    Data resource: Statistics Bulletin on Education Expenditure Execution Conditions of Ministry of Education over the years, statistical yearbook of State Statistics Bureau, 2000–2014.

  2. 2.

    The city tiers in China mainly depends on the population, income, and competitiveness. The first tier cities are the four biggest cities in China: Beijing, Shanghai, Guangzhou, Shenzhen; while the second tier cities are mainly the capitals of each province.

  3. 3.

    Report on Internet Learning Users’ Behavior issued by hjclass.com. [EB/OL]. http://mt.sohu.com/20150528/n414011755.shtml.2015-5-28.

  4. 4.

    Source of data and figure: jzb.com and Future Education Institute; January 5, 2015–January 12, 2015, Online Investigation Data, N = 1741.

  5. 5.

    The 9th scientific quality investigation results of Chinese citizens issued by China Association for Science and Technology [EB/OL].

    http://education.news.cn/2015-09/19/c_128247007.htm.2015-9-19.

  6. 6.

    Data source: Focusing on Reading Investigation of National Citizens: Mono-graphic Investigation on the Reading of National Citizens [EB/OL]. http://www.chuban.cc/ztjj/yddc/.

  7. 7.

    Data source: Focusing on Reading Investigation of National Citizens: Mono-graphic Investigation on the Reading of National Citizens [EB/OL]. http://www.chuban.cc/ztjj/yddc/.

  8. 8.

    Data source: White Paper project team, statistical data of “Internet + Action” in various regions.

  9. 9.

    Source: Xi Jinping’s address at the “May 1” International Labor Day celebration and the national model workers and advanced workers commendation conference (2015).

  10. 10.

    Data source: Tencent, 2015 Performance Report, May 2015.

  11. 11.

    White Paper on the Development of Cloud Computing Industry (2015 edition)—CCID Think Tank.

  12. 12.

    Source: comprehensive predication in accordance with the development of network assistance teaching and online education.

  13. 13.

    Source: Yu Minhong from the education institution of New Oriental.

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Correspondence to Dejian Liu .

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© 2017 Springer Nature Singapore Pte Ltd.

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Liu, D., Huang, R., Wosinski, M. (2017). Future Trends of Smart Learning: Chinese Perspective. In: Smart Learning in Smart Cities. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-4343-7_8

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  • DOI: https://doi.org/10.1007/978-981-10-4343-7_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4342-0

  • Online ISBN: 978-981-10-4343-7

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