Acting Project Manager
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Interdisciplinary Data Literacy Education at RWTH – University-Wide – Digital
The data.RWTH project funded by the Digital University of North Rhine Westphalia and the Stifterverband aims to teach students data literacy on a broad scale. To this end, we develop courses that teach various aspects of data literacy.
Learning and applying data literacy – data.RWTH teaches future skills
The skills to appropriately and critically collect and evaluate, manage, analyze, and interpret data are key prerequisites for actively shaping the data-driven society 4.0. Within the framework of the data.RWTH project, competencies required for this are taught in an application-oriented and interdisciplinary manner and are systematically integrated into the curricula. Together with the data.RWTH project team, teachers and other stakeholders are working on the creation and implementation of a modular and multi-perspective teaching and learning program that forms both a common and subject-specific competence set among students.
In online courses, students learn how to proficiently handle data in a variety of processing and deployment contexts: from data collection to the use of appropriate strategies and tools for management, analysis, and visualization to data-based decision making. That way, students of today learn to understand the data of tomorrow!
Goals of the Project
- Learning – Students digitally acquire both basic and specialized data competencies as important future skills with the use of different methods and tools.
- Teaching – Teachers actively shape the conception, implementation, and curricular integration of new data literacy modules at RWTH Aachen University with subject-specific expertise.
- Applying – Using case studies and real-world data sets as well as software, students learn to apply acquired data skills in a practice-oriented manner.
- Networking – Experiences, teaching approaches, and materials are shared in the federal data literacy education network – so all network partners benefit from mutual exchange
Aspects of the Project
- Gathering data literacy requirements and competencies in exchange with external stakeholders, students, and faculty
- Conception of contents and methods of interdisciplinary modules
- Developing and producing videos and other materials
- Curricular embedding of the courses in all faculties
- Promoting a university-wide implementation and certification of course modules
- Providing courses as Moodle and edX courses in German and English
- Continuous quality management and assurance
- Developing an evaluation concept
- Participating in the Data Literacy Education Network
- Networking with partners from business, science, and industry