Experiment Science and Technology, Volume. 22, Issue 2, 54(2024)

Discussion on the Experimental Teaching Mode of Python Programming Language

Xin ZENG1, Meiliang WANG2, Gaoquan LI2, Yi LI1, and Xiaoling ZHANG1、*
Author Affiliations
  • 1College of Mathematics and Computer Science, Dali University, Dali 671003, China
  • 2Teaching Institute, Education and Sports Bureau of Dali State, Dali 671000, China
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    In view of the disadvantages of the traditional experimental teaching mode, such as outdated experimental teaching methods, insufficient subjective initiative of students, floating experimental report in form, simple final examination system and not highlighting the practically of Python programming language, this paper discusses the practical and effective experimental teaching mode of Python programming language that is in line with students’ reality. The experimental teaching mode of Python programming language takes video simulation + task driven as the experimental teaching method, requiring students to achieve “clear” experimental tasks and regular large assignments, and incorporate all learning tasks into the final examination system, so as to fully encourage students to write Python programs. At the same time, in view of the problems encountered in the implementation of the experimental teaching mode of the Python programming language, this paper gives some suggestions on the teaching self-examination, such as the team leader rotation system and the assistant teaching system, which further improves the smooth connection of the experimental teaching of Python programming language. Finally, based on the increasing difficulty of experimental tasks in the course of Machine Learning, the application of Python programming language in the field of artificial intelligence will be promoted.

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    Xin ZENG, Meiliang WANG, Gaoquan LI, Yi LI, Xiaoling ZHANG. Discussion on the Experimental Teaching Mode of Python Programming Language[J]. Experiment Science and Technology, 2024, 22(2): 54

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    Paper Information

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    Received: Jan. 12, 2023

    Accepted: --

    Published Online: May. 21, 2024

    The Author Email: Xiaoling ZHANG (张晓玲)

    DOI:10.12179/1672-4550.20230027

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