@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{23750,
  author       = {{Savelsbergh, Elwin R. and Prins, Gjalt T. and Rietbergen, Charlotte and Fechner, Sabine and Vaessen, Bram E. and Draijer, Jael M. and Bakker, Arthur}},
  issn         = {{1747-938X}},
  journal      = {{Educational Research Review}},
  keywords     = {{innovation, STEM education, science education, attitudes}},
  pages        = {{158--172}},
  title        = {{{Effects of innovative science and mathematics teaching on student attitudes and achievement: A meta-analytic study}}},
  doi          = {{10.1016/j.edurev.2016.07.003}},
  volume       = {{19}},
  year         = {{2016}},
}