Work

Evaluation of Data Literacy Frameworks and a Self-Data Curriculum for High School Students

Year: 2024

Type: conference-paper

Abstract: With the emergence of self-tracking devices that collect and produce real-time personal data, it is becoming increasingly necessary to innovate data literacy frameworks and student curricula to address new competencies in data handling, visualization, and use. We examine the evolution of data literacy frameworks across the past 7 years, specifically focusing on the inclusion of self-data competencies. We analyzed existing data literacy frameworks to identify common phases of data engagement. A scoping review of published data literacy frameworks was conducted, and 23 studies were included for analysis. Results from this scoping review demonstrate the existence of at least eight sequential phases of data engagement to develop data literacy. Two of these phases address personal or self-data competencies. We then describe a curriculum that addresses these eight phases of data engagement by pairing biometric devices with online tools and educational materials to scaffold self-data knowledge, skills, and attitudes. Based on this, we conclude with the need to propose holistic data literacy education programmes, considering the curriculum as a model to guide similar materials aimed at fostering emerging data competencies.

Source: International Conference on Information Technology Based Higher Education and Training (ITHET)

DOI: 10.1109/ithet61869.2024.10837612

Authors: Maria Jose Hernandez-Serrano, Felicia Zerwas, Camillia Matuk, Girija Chatufale, Xavier Ochoa, Suzanne Dikker

Institutions: Universidad de Salamanca, New York University

Language: English

Topic: Literacy, Media, and Education

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: green

Funder: National Science Foundation