Showcase of Active Learning and Teaching Practices in Spatial Data Infrastructure (SDI) Education

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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Showcase of Active Learning and Teaching Practices in Spatial Data Infrastructure (SDI) Education ; volume:3 ; year:2022 ; pages:1-11 ; extent:11 ; AGILE: GIScience series ; 3 (2022), 1-11 (gesamt 11)

Classification and Topics

• Classification: Erziehung, Schul- und Bildungswesen

Contributors, Places and Time

• Creator: Welle Donker, Frederika ; van Loenen, Bastiaan ; Keßler, Carsten ; Küppers, Natalie ; Panek, Mark ; Mansourian, Ali ; Zhou, Pengxiang ; Vancauwenberghe, Glenn ; Tomić, Hrvoje ; Kević, Karlo

Further information

• DOI: 10.5194/agile-giss-3-18-2022
• URN: urn:nbn:de:101:1-2022061605330662365191
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:26 AM CEST