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

Frederika Welle Donker, B. Van Loenen, C. Kessler, Natalie Küppers, Mark Panek, A. Mansourian, Pengxiang Zhou, G. Vancauwenberghe, H. Tomić, Karlo Kević
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Abstract

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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空间数据基础设施(SDI)教育的主动学习和教学实践展示
摘要开放空间数据基础设施(Open sdi)的新概念源于对开放数据倡议的兴趣增加,以及欧盟开放数据指令(指令(EU) 2019/1024)等国家和国际指令,以及欧洲公共当局在开发用于公共当局内部共享空间数据的sdi方面的大量投资。开放SDI有潜力推动实现SDI的总体目标和目标,即促进空间数据的交换和共享,通过包括开放SDI教育在内的SDI各方面的公众参与和增加开放性来支持规划和决策。开放空间数据基础设施教育网络(SPIDER)项目旨在解决开放SDI教育问题,特别强调研究SDI教育的主动学习和教学(ALT)方法。本文为SDI方法的ALT提供了理论基础。我们展示了在COVID-19大流行之前,合作大学的SDI教育中已经实施了ALT实践。我们还描述了疫情如何成为在在线环境中实施ALT实践的催化剂,以及学生如何评估这些实践。我们的研究成果可以为其他国家的SDI教育提供启示。
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