Open Access
| Issue |
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 | |
| DOI | https://doi.org/10.1051/itmconf/20192601006 | |
| Published online | 04 February 2019 | |
- 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]
- http://cdn.oreillystatic.com/en/assets/1/event/71/Big%20Data_%20The%20Next%20Frontier%20Presentation.pdf [Google Scholar]
- Meng Xiaofeng, Ci Xiang. Big Data Management: Concepts, Techniques Challenges [J]. Journal of Computer Research and Development, 2013, 50 (1): 146–169. [Google Scholar]
- Wing JM. Computational Thinking and Thinking About Computing [J]. Philosophical Transactions of the Royal Society, 2008, 366: 3717–3725. [CrossRef] [Google Scholar]
- 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]
- 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]
- 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]
- Li Feng, Wang Jiqing. Computational Thinking: An Intrinsic Value of Information Technology Courses [J]. China Educational Technology, 2013, (8): 19-23. [Google Scholar]
- Mou Qin, Tan Liang. Research and Progress in Computational Thinking[J]. Computer Science, 2011, (3): 10-15. [Google Scholar]
- 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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