During the project three Learning Teaching Training events in the form of summer schools on Data Literacy have been taken place virtually, each focusing on a different topic and taking place in a different Partner Country (Germany, Netherlands, Hungary).
In the course of these international summer schools students and lecturers have worked on a number of generic Data Literacy issues e.g. “Evaluation and Ensuring Quality of Data and Sources”, “Data Manipulation” or “Data Interpretation” within a specific context and in a cooperative manner. Specific contexts within the summer schools were open government data, health data and research data, and open science. In addition to input from external experts, students – cooperating in international teams – were also actively involved in working on different problems. Thus, the participating students have developed solutions together and presented them.
The most important results are enhanced students’ and teachers’ Data Literacy competencies. Students as well as teachers have developed increasing Data Literacy competencies within their courses, through self-paced learning activities in the learning lab and by attending additional training activities. Overall, this enlarged student’s ability of collaborative learning, critical thinking, solving highly interdepend and complex problems.