Keywords:media education, data science, critical data literacy
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.
How to Cite
Copyright (c) 2021 Dan Verständig
This work is licensed under a Creative Commons Attribution 4.0 International License.
Seminar.net is a fully open access journal, which means that all articles are available on the internet to all users immediately upon publication. Non-commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited. The journal allow reuse and remixing of content in accordance with a Creative Commons license CC BY
- The journal allows the author(s) to hold the copyright without restrictions.
- The journal allows the author(s) to retain publishing rights without restrictions.
- Seminar.net does not charge authors for publishing with us.