Balancing Plurality and Educational Essence: Higher Education Between Data-Competent Professionals and Data Self-Empowered Citizens
Nils Hachmeister,
Katharina Weiß,
Juliane Theiß and
Reinhold Decker
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Nils Hachmeister: BiCDaS, Bielefeld University, 33501 Bielefeld, Germany
Katharina Weiß: BiCDaS, Bielefeld University, 33501 Bielefeld, Germany
Juliane Theiß: BiCDaS, Bielefeld University, 33501 Bielefeld, Germany
Reinhold Decker: BiCDaS, Bielefeld University, 33501 Bielefeld, Germany
Data, 2021, vol. 6, issue 2, 1-15
Abstract:
Data are increasingly important in central facets of modern life: academics, professions, and society at large. Educating aspiring minds to meet highest standards in these facets is the mandate of institutions of higher education. This, naturally, includes the preparation for excelling in today’s data-driven world. In recent years, an intensive academic discussion has resulted in the distinction between two different modes of data related education: data science and data literacy education. As a large number of study programs and offers is emerging around the world, data literacy in higher education is a particular focus of this paper. These programs, despite sharing the same name, differ substantially in their educational content, i.e., a high plurality can be observed. This paper explores this plurality, comments on the role it might play and suggests ways it can be dealt with by maintaining a high degree of adaptiveness and plurality while simultaneously establishing a consistent educational “essence”. It identifies a skill set, data self-empowerment, as a potential part of this essence. Data science and literacy education are still experiencing changeability in their emergence as fields of study, while additionally being stirred up by rapid developments, bringing about a need for flexibility and dialectic.
Keywords: data science; data literacy; higher education; curricula; competencies (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:6:y:2021:i:2:p:10-:d:484725
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