@inproceedings{27491, abstract = {{ Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts.}}, author = {{Höper, Lukas}}, booktitle = {{21st Koli Calling International Conference on Computing Education Research}}, isbn = {{9781450384889}}, keywords = {{data awareness, machine learning, data science education, data-driven digital artifacts, artificial intelligence}}, publisher = {{Association for Computing Machinery}}, title = {{{Developing and Evaluating the Concept Data Awareness for K12 Computing Education}}}, doi = {{10.1145/3488042.3490509}}, year = {{2021}}, } @article{5910, author = {{Heinemann, Birte and Opel, Simone and Budde, Lea and Schulte, Carsten and Frischemeier, Daniel and Biehler, Rolf and Podworny, Susanne and Wassong, Thomas}}, isbn = {{9781450365352}}, journal = {{Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling '18}}, keywords = {{Curriculum Development, Data Science, Secondary Sc, acm reference format, big data, curriculum development, data literacy, data science, educa-, interdisciplinary, secondary schools, tion}}, number = {{17}}, pages = {{1--5}}, title = {{{Drafting a Data Science Curriculum for Secondary Schools}}}, doi = {{10.1145/3279720.3279737}}, year = {{2018}}, }