Workshop Description

Higher education is in flux in a datafied world. Students in all disciplines need new forms of data literacy. But curricular responses are slow, and the most expedient solution is patchwork of courses without considering deeper curriculum design concerns. The result is often the transplanting of data science courses and making shallow disciplinary connections. The resulting graft is neither transformative nor existing. As a response, this workshop offers a design experience for participants to conceptualise data literacy in a deeper way, informed by interdisciplinary and systems theory. By focusing on instructional, institutional, and international levels—and importantly, relationships within and between these levels—we present a framework for curriculum development that goes beyond copying computer science instruction into other disciplines.