Conceptions and perspectives of data literacy in secondary education.

Data literacy has been suggested as an important competence that individuals need to succeed in a data‐intensive society. However, there is no common understanding as to what data literacy entails and how it could be developed. Instructional emphasis on developing competence of individuals fails to capture learners' relationship to data in everyday life and limits what they can possibly achieve in data‐rich environments. This paper critically reviews conceptualizations of data literacy in the literature with a focus in K‐12 education. The analysis determined four orientations of data literacy: development of competence, inquiry with data, awareness of personal data and civic engagement. I proposed a broader conceptualization of data literacy that integrates conceptions, competencies and contexts. The study offers holistic and context‐oriented framing of data literacy for researchers and educators. Practitioner notesWhat is known about the topic Data literacy is a potential buzzword in the recent literature. There are increasing calls for developing data literacy skills of students and the general public.Data literacy is framed and implemented as a technical competence. Accordingly, curricular interventions and pedagogical practices focus on making use of data and benefiting from available datasets.What this paper adds The above framing of data literacy is too narrow to be useful in everyday life and rarely considers individuals interaction with data outside of schools.This study develops four focus areas in the conceptualization of data literacy and suggests broader framing of the concept as it relates to everyday life.It also suggests context‐oriented approaches to data literacy education that can go beyond classrooms and academic activities.Implications for practice and policy This paper has implication for educators, researchers and policy makers. It allows boarder conceptualizations of data literacy that can be used in curricular interventions. It also provides ways of designing learning environments for the data literacy education and research. [ABSTRACT FROM AUTHOR]