Drafting a Data Science Curriculum for Secondary Schools

B. Heinemann, Simone Opel, Lea Budde, Carsten Schulte, Daniel Frischemeier, Rolf Biehler, Susanne Podworny, Thomas Wassong
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引用次数: 27

Abstract

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.
为中学编写数据科学课程
数据科学作为一门从数据中生成信息和知识的艺术,正日益成为大多数操作过程的重要组成部分。但到目前为止,在德国的中学计算机科学教育中,数据科学几乎不是一个问题。出于这个原因,我们正在为德国中学开发一个数据科学课程,这是我们在本文中提出的第一个指导方针和想法。课程设计为数学和计算机科学教育之间的跨学科方法,也非常关注社会方面。在对数据科学中的重要概念和挑战进行了简短的讨论之后,本文提出了课程的初稿和伴随发展的高中数据科学课程大纲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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