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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 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.
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.
Report on Internet Learning Users’ Behavior issued by hjclass.com. [EB/OL]. http://mt.sohu.com/20150528/n414011755.shtml.2015-5-28.
- 4.
Source of data and figure: jzb.com and Future Education Institute; January 5, 2015–January 12, 2015, Online Investigation Data, N = 1741.
- 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.
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.
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.
Data source: White Paper project team, statistical data of “Internet + Action” in various regions.
- 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.
Data source: Tencent, 2015 Performance Report, May 2015.
- 11.
White Paper on the Development of Cloud Computing Industry (2015 edition)—CCID Think Tank.
- 12.
Source: comprehensive predication in accordance with the development of network assistance teaching and online education.
- 13.
Source: Yu Minhong from the education institution of New Oriental.
References
Baidu Library, & Education Management Information Center of Ministry of Education. (2014). White paper on internet learning in China in 2014 and Research Report on Online Education in 2014. Retrieved from http://wenku.baidu.com/link?url=cRrXO2rMVXPjpWkSWiDEmjjbvgN6PhGD_7qsIFGtmlSRKYvzNpV7IY5FpOWky-0vPLPmE4_EKeA8BSCDMFaAD2hO65pphc-nkhei9dIMIve
Capital Laboratory. (2015). Overview of venture investment, merger and acquisition of global and Chinese online education in 2014. Retrieved from http://www.coinsay.com/article/coinsay_4904.html
China Internet Network Information Center. (2015). The 35th statistics report on internet development in China. Retrieved from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201502/P020150203548852631921
Fudan University. (2014). Network society mentality report of China. Retrieved from http://news.sciencenet.cn/htmlnews/2014/10/305476.shtm
Huang, R. (2014). Triple realms of smart education: From environment, model to system. Modern Distance Education Research, 6, 3–11.
Huang, R. H., Yang, J. f., & Hu, Y. B. (2012). From digital learning environment to smart learning environment reform and trend of learning environment. Open Education Research, 1, 75–84.
HuJiang Online Education. (2005). The internet learning user behavior report. Retrieved from http://mt.sohu.com/20150528/n414011755.shtml.2015-5-28
Ministry of Education. (2015). Statistical bulletin on the development of national educational case in 2014. Retrieved from http://www.moe.edu.cn/srcsite/A03/s180/moe_633/201508/t20150811_199589.html
Simons, G. (2009). Knowledge and learning in the network Era—Stepping into the intercommunication. Shanghai: East China Normal University Press.
Skillsoft. (2015). Mobile learning situation in China: How mobility influences cloud learning. Retrieved from http://www.hao5191.cn/news/jiaoyukaoshi/20150909/1229.html
The Central Committee of the Communist Party of China and the State Council. (1996). The outline for reform and development of education in China (2010–2020). Retrieved from http://www.china.com.cn/policy/txt/2010-03/01/content_19492625_3.htm
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-981-10-4343-7_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4342-0
Online ISBN: 978-981-10-4343-7
eBook Packages: EducationEducation (R0)