Name
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. |
Year | Venue | Field |
|---|---|---|
2018 | Koli Calling | Data science,Curriculum development,Computer science,Curriculum,Data literacy,Big data,German |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Birte Heinemann | 1 | 0 | 2.37 |
| Simone Opel | 2 | 15 | 4.99 |
| Lea Budde | 3 | 0 | 1.01 |
| Carsten Schulte | 4 | 390 | 49.99 |
| Daniel Frischemeier | 5 | 0 | 1.69 |
| Rolf Biehler | 6 | 0 | 2.37 |
| Susanne Podworny | 7 | 0 | 2.03 |
| Thomas Wassong | 8 | 0 | 1.01 |