在计算机建模教育中用Python编程建立跨学科联系

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
T. Georgieva-Trifonova
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引用次数: 0

摘要

本文探讨了在计算机建模教育中通过Python编程实现跨课程连接的可能性。为此,根据研究科目——数学、历史、地理、人类和自然——对样本项目进行系统化。他们的指定是为了帮助巩固Python编程和其他相关学科的某些知识和技能。展示了具体实施的项目,讨论了它们的不同变体,并确保了它们的可访问性,以便将来用于教育目的。因此,它们可以直接用于应用基于项目的教学方法,从学习材料中学习相关主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing Cross-Curricular Connections Through Python Programming in Computer Modeling Education
In the present paper, the possibilities of making cross-curricular connections through Python programming in computer modeling education are explored. For this purpose, sample projects are systematized according to the study subjects – mathematics, history, geography, human and nature. Their designation is to contribute to the consolidation of certain knowledge and skills, both in terms of Python programming and in the relevant other subject. Concrete implemented projects are represented, different variants of them are discussed, and their accessibility is ensured for their future reuse for educational purposes. As a result, they could be directly used to apply a project-based teaching approach in learning relevant topics from the study material.
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来源期刊
TEM Journal-Technology Education Management Informatics
TEM Journal-Technology Education Management Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
14.30%
发文量
176
审稿时长
8 weeks
期刊介绍: TEM JOURNAL - Technology, Education, Management, Informatics Is a an Open Access, Double-blind peer reviewed journal that publishes articles of interdisciplinary sciences: • Technology, • Computer and informatics sciences, • Education, • Management
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