Alexander I. Svistkov, A. A. Sutchenkov, A. Tikhonov
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引用次数: 0
摘要
本文论述了利用STEM和STEAM技术构建“Problem Solving with Python”课程的结构和方法。本课程建立在“可视化和解决问题的头脑优先”的原则之上。提供的技术使课程易于理解,包括NumPy数组和切片的操作,Python生态系统的库,特定于领域的语言。研究表明,在解决问题时,可视化能提高学生的兴趣。提出了在新冠肺炎大流行条件下开展该课程的技术。
STEM and STEAM Technologies in Problem Solving with Python
The article deals with the structure and methods of construction of the course "Problem Solving with Python" using STEM and STEAM technologies. The course is built on the principle of "visualization and problem solving head first". The techniques are offered to make the course easy to understand, including operations with NumPy arrays and slices, libraries of the Python ecosystem, domain-specific languages. It is shown that visualization in problem solving increases student interest. The techniques of conducting the course in the conditions of Covid-19 pandemic are offered.