Open Access
ITM Web Conf.
Volume 26, 2019
2018 International Conference on Computer Science and Education Technology (CSET 2018)
Article Number 01006
Number of page(s) 4
Section Computer Science and Education Technology
Published online 04 February 2019
  1. Song Tian, Huang Tianyu, Li Xin. Python Language: Ideal Choice for Teaching Reform of Programming Course [J]. China University Teaching, 2016, 2: 42–47. [Google Scholar]
  2. [Google Scholar]
  3. Meng Xiaofeng, Ci Xiang. Big Data Management: Concepts, Techniques Challenges [J]. Journal of Computer Research and Development, 2013, 50 (1): 146–169. [Google Scholar]
  4. Wing JM. Computational Thinking and Thinking About Computing [J]. Philosophical Transactions of the Royal Society, 2008, 366: 3717–3725. [CrossRef] [Google Scholar]
  5. Zhang Dianlong, He Dongguang, Jia Lijuan. Design of Teaching Plan for Cultivating Computational Thinking Ability in Programming Course [J]. Computer Education, 2015 (16): 78-80. [Google Scholar]
  6. Wang Yaping. Teaching Reform Practice of "Python Programming" Course from the Perspective of Computational Thinking [J]. Computer Knowledge and Technology, 2018, 14 (02): 143–144. [Google Scholar]
  7. Lu Ning. Analysis on the Thought of "Ideological and Political Courses" and "Course Ideological and Political" in University [J]. University Education, 2018. 1: 122–124. [Google Scholar]
  8. Li Feng, Wang Jiqing. Computational Thinking: An Intrinsic Value of Information Technology Courses [J]. China Educational Technology, 2013, (8): 19-23. [Google Scholar]
  9. Mou Qin, Tan Liang. Research and Progress in Computational Thinking[J]. Computer Science, 2011, (3): 10-15. [Google Scholar]
  10. Yang Xiaohua, Liu Jie, Liu Zhiming, Xu Zhuoran. Discussion on the Teaching Method of Programming Design Integrating with Computational Thinking Training [J]. Journal of Higher Education, 2015 (19): 106-109. [Google Scholar]

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