Drafting a Data Science Curriculum for Secondary Schools
Drafting a Data Science Curriculum for Secondary Schools
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起草中学数据科学课程
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Thomas Wassong
中科院分区：
文献类型：
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作者：
B. Heinemann;Simone Opel;Lea Budde;Carsten Schulte;Daniel Frischemeier;Rolf Biehler;Susanne Podworny;Thomas Wassong
数据科学作为从数据中生成信息和知识的艺术，正日益成为大多数运营流程的重要组成部分。但到目前为止，数据科学在德国中学计算机科学教育中几乎不是一个问题。出于这个原因，我们正在为德国中学开发数据科学课程，这是我们在本文中提出的第一个指导方针和想法。该课程的设计是数学和计算机科学教育之间的跨学科方法，也非常注重社会方面。在简要讨论了数据科学的重要概念和挑战之后，提出了课程的初稿和高中数据科学课程的大纲。
Data science as the art of generating information and knowledge from data is increasingly becoming an important part of most operational processes. But up to now, data science is hardly an issue in German computer science education at secondary schools. For this reason, we are developing a data science curriculum for German secondary schools, which first guidelines and ideas we present in this paper. The curriculum is designed as interdisciplinary approach between maths and computer science education, with also a strong focus on societal aspects. After a brief discussion of important concepts and challenges in data science, a first draft of the curriculum and an outline of a data science course for upper secondary schools accompanying the development are presented.
影响因子：
2
作者：
Ridgway J
通讯作者：
Ridgway J