modal – Insights into an Interdiciplinary Data Literacy Project with a Practical Approach

One of the main missions of higher education is to prepare students for an increasingly digitalised future. This requires classic and digital competencies – the “Future Skills”. “Mannheimer Model Data Literacy Education” (modal) is an interdisciplinary learning and teaching project at the Mannheim UAS, in which Bachelor’s students of every faculty can train digital competencies. The following article introduces into the lecture series unimodal1 and the data project bimodal2. Both programmes encourage the training of Data Literacy, a model of competencies with a similar approach to Statistical Literacy and related terms. This involves participation in the “Skill Week”, a workshop series that includes entry-level modules in statistics, data analytics, and visualisation. Both programmes follow a modal Data Literacy framework comprising five competency fields. Through self-assessment, the participants were asked to judge their own development in each competency after the modal programme.