Research on the implementation status and improvement strategies of cloud classroom personality teaching in elementary schools

Li Xiang Mao, Universitas Negeri Jakarta, Indonesia
Sri Leny, Zhejiang Normal University, China


Currently, the development of students' personality and the cultivation of innovative talents are regarded as an important task of education for each country, the personalized teaching has become the goal of the new curriculum reform in China. With the continuous development of cloud computing technology, network cloud platform education resources are being used more and more in the teaching process, the " personalized teaching of the cloud classroom" in primary schools has gradually become the highlight for the reform and research of the basic education in Nanjing. Since it was officially launched in 2010, Nanjing has 1380 high-quality courses in the cloud classroom, trained 775 backbone teachers, explored new teaching models, accumulated a wealth of teaching cases. At the same time, in the implementation process, it also faces many problems and challenges related to educational concept, technology and application. This study use the literature design and case study method to define the relevant conceptss in analyze the teaching. The result of this study shown that the use of cloud classroom teaching can provide teachers visual expression tools for the smooth implementation of teaching, reduce the teaching burden of teachers, and provide students with a teaching environment rich in pictures and texts, stimulate learning interest and improve learning efficiency.


Personalized teaching; cloud classroom; improve learning efficiency

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Anshari, M., Alas, Y., & Guan, L. S. (2016). Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge. Education and Information Technologies, 21, 1663–1677.

Bangqi, Liu., Xinyu, Li., & Tingting, Y. (2019). Innovation and applied research of subject teaching model based on wisdom classroom. Audio-Visual Education Research, 4, 7.

Bell, B. S., & Federman, J. E. (2013). E-learning in postsecondary education. The Future of Children, 165–185.

Chun, Z. (2017). Personalized teaching research in cloud education environment. Chongqing. (Doctoral Dissertation, Southwest University).

Gao yu, & H. yuanyuan. (2020). Strategies for Cultivating Students' Imagination in Picture Book Teaching. Fujian Education Journal. Fujian Education Journal, (13):48-49.

Jin, K. (2016). Personalized learning with technical support: a new trend for student development. China's Electrical Education, 4.

Jing, Wang., & Zhuo, Y. (2017). Hybrid teaching model design based on cloud classroom — Take Hua Shiyun classroom as an example. China's Electrical Education, 04(5).

Juan, G. (2014). The construction of network teaching resource platform in cloud computing environment. Journal of Shijiazhuang Vocational and Technical College, 3, 26(4).

Min, Q., Wang, Z., & Liu, N. (2019). Integrating a cloud learning environment into English-medium instruction to enhance non-native English-speaking students' learning. Innovations in Education and Teaching International, 56(4), 493–504.

Outline of the National Medium- and Long-Term Education Reform and Development Plan. (n.d.).

Rashid, Y., Rashid, A., Warraich, M. A., Sabir, S. S., & Waseem, A. (2019). Case Study Method: A Step-by-Step Guide for Business Researchers. International Journal of Qualitative Methods, 18.

Snyder, H., Witell, L., Gustafsson, A., Fombelle, P., & Kristensson, P. (2016). Identifying categories of service innovation: A review and synthesis of the literature. Journal of Business Research, 69(7).

Xu, X., Chan, F. M., & Yilin, S. (2020). Personal learning environment: an experience with ESP teacher training. Interactive Learning Environments, 28(6), 779–794.

Yun, Yang, & Xianjin, Z. (2018). The Dilemma of Cloud Classroom Teaching and Beyond. Fujian Education Journal, 1, 29.

Zhang, Yan., Hare, Jonathon., Prügel-Bennet, A. (2018). Learning to count objects in natural images for visual question answering. ICLR.



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