@article{Verständig_2021, title={Critical Data Studies and Data Science in Higher Education: An interdisciplinary and explorative approach towards a critical data literacy}, volume={17}, url={https://journals.oslomet.no/index.php/seminar/article/view/4397}, DOI={10.7577/seminar.4397}, abstractNote={<p style="margin-top: 0.21cm; margin-bottom: 0.21cm; line-height: 150%;" lang="en-US">This paper discusses an explorative approach on strengthening critical data literacy using data science methods and a theoretical framing intersecting educational science and media theory. The goal is to path a way from data-driven to data-discursive perspectives of data and datafication in higher education. Therefore, the paper focuses on a case study, a higher education course project in 2019 and 2020 on education and data science, based on problem-based learning. The paper closes with a discussion on the challenges on strengthening data literacy in higher education, offering insights into data practices and the pitfalls of working with and reflecting on digital data.</p>}, number={2}, journal={Seminar.net}, author={Verständig, Dan}, year={2021}, month={Aug.} }