A Data Literacy Competence Model for Higher Education and Research
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910916396711936 |
|---|---|
| author | Echtenbruck, Martina M. Fühles-Ubach, Simone Naujoks, Boris Kaliva, Elisabeth |
| author_facet | Echtenbruck, Martina M. Fühles-Ubach, Simone Naujoks, Boris Kaliva, Elisabeth |
| contents | In an increasingly data-driven world, the ability to understand, interpret, and use data - data literacy - is emerging as a critical competence across all academic disciplines. The Data Literacy Initiative (DaLI) at TH Köln addresses this need by developing a comprehensive competence model for promoting data literacy in higher education. Based on interdisciplinary collaboration and empirical research, the DaLI model defines seven overarching competence areas: "Establish Data Culture", "Provide Data", "Manage Data", "Analyze Data", "Evaluate Data", "Interpret Data", and "Publish Data". Each area is further detailed by specific competence dimensions and progression levels, providing a structured framework for curriculum design, teaching, and assessment. Intended for use across disciplines, the model supports the strategic integration of data literacy into university programs. By providing a common language and orientation for educators and institutions, the DaLI model contributes to the broader goal of preparing students to navigate and shape a data-informed society. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15690 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Data Literacy Competence Model for Higher Education and Research Echtenbruck, Martina M. Fühles-Ubach, Simone Naujoks, Boris Kaliva, Elisabeth Computers and Society K.3.2; K.4.0 In an increasingly data-driven world, the ability to understand, interpret, and use data - data literacy - is emerging as a critical competence across all academic disciplines. The Data Literacy Initiative (DaLI) at TH Köln addresses this need by developing a comprehensive competence model for promoting data literacy in higher education. Based on interdisciplinary collaboration and empirical research, the DaLI model defines seven overarching competence areas: "Establish Data Culture", "Provide Data", "Manage Data", "Analyze Data", "Evaluate Data", "Interpret Data", and "Publish Data". Each area is further detailed by specific competence dimensions and progression levels, providing a structured framework for curriculum design, teaching, and assessment. Intended for use across disciplines, the model supports the strategic integration of data literacy into university programs. By providing a common language and orientation for educators and institutions, the DaLI model contributes to the broader goal of preparing students to navigate and shape a data-informed society. |
| title | A Data Literacy Competence Model for Higher Education and Research |
| topic | Computers and Society K.3.2; K.4.0 |
| url | https://arxiv.org/abs/2504.15690 |