Showcase of Active Learning and Teaching Practices in Spatial Data Infrastructure (SDI) Education
F.M. Welle Donker (TU Delft - Urban Data Science)
B. van Loenen (TU Delft - Urban Data Science)
Carsten Kessler (Bochum University of Applied Sciences)
Natalie Küppers (Bochum University of Applied Sciences)
Mark Panek (Bochum University of Applied Sciences)
Ali Mansourian (Lund University)
Pengxiang Zhao (Lund University)
Glenn Vancauwenberghe (Katholieke Universiteit Leuven)
Hrvoje Tomić (University of Zagreb)
Karlo Kević (University of Zagreb)
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Abstract
The new concept of Open Spatial Data Infrastructures (Open SDIs) has emerged from an increased interest in open data initiatives together with national and international directives, such as the EU Open Data Directive (Directive (EU) 2019/1024), and the large investment of European public authorities in developing SDIs for sharing spatial data within public authorities. Open SDIs have the potential to boost reaching SDIs’ general aims and goals of facilitating the exchange and sharing of spatial data to support planning and decision-making by including public participation and increased openness in all aspects of SDIs, including Open SDI Education. The open SPatial data Infrastructure eDucation nEtwoRk (SPIDER) project aims to address Open SDI Education by particular emphasis on studying Active Learning and Teaching (ALT) methods for SDI education. This article provides a theoretical basis of ALT for SDI methodologies. We show in which way ALT practices were already implemented in SDI education at the Partner universities before the COVID-19 pandemic. We also describe how the pandemic functioned as a catalyst for implementing ALT practices to an online environment, and how students evaluated these practices. The outcomes of our research can serve as an inspiration for SDI education in other countries.
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