| Title | Data Science and Big Data in Upper Secondary Schools: What Should Be Discussed From a Perspective of Computer Science Education? |
| Authors | Heinemann, Birte, Budde, Lea, Schulte, Carsten, Biehler, Rolf, Frischemeier, Daniel, Podworny, Susanne and Wassong, Thomas |
| Year | 2018 |
| Volume | Archives of Data Science, Series A 5(1) / 2018 |
| Abstract | The domain of data science is a large field, combining statistics, computer science and sociocultural issues. It is an open question which topics and which contents can and should be implemented in school, e.g. from the perspective of computer science education. Within the frame of a design-based research project a pilot course is designed by computer science and statistics educators at the Paderborn University, addressing upper secondary students. In this paper, we concentrate on the second of four modules, in which machine learning and neural networks are adressed. Some individual phases of the module are presented, followed by a metaperspective of the curriculum development that contributes to our project, and further research questions. |