Digital Earth Education

Author:

Wang Cuizhen,Kantor Camelia M.,Mitchell Jerry T.,Bacastow Todd S.

Abstract

AbstractDigital Earth (DE) education provides students with geospatial knowledge and skills to locate, measure, and solve geographic problems on Earth’s surface. The rapid development of geospatial technology has promoted a new vision of DE to embrace data infrastructure, social networks, citizen science, and human processes on Earth. The high demand for a geospatial workforce also calls for an ever-changing, diverse form of learning experiences. Limited efforts, however, have been made regarding DE education to adapt to this changing landscape, with most interventions falling short of expectations. This chapter gives an overview of current teaching and learning structures with DE technologies. Successes and obstacles for K-12 education are explored first, followed by classroom technologies and experiential learning and outreach exercises such as academic certificates and internships in higher education. Taking the geospatial intelligence model from the U.S. Geospatial Intelligence Foundation (USGIF) as an example, recent advancements in DE education for professional careers are described via its geospatial competencies, hierarchical frameworks, and credentials. In alignment with the principles of DE development, future DE education calls for an integrated learning framework of open data, real-world context, and virtual reality for better preparedness of our students in the geospatial world.

Publisher

Springer Singapore

Reference82 articles.

1. American Society for Photogrammetry and Remote Sensing (ASPRS) (2004) Ten-year (2000–2010) remote sensing industry analysis and forecast, Phases I-III Study Documentation. http://www.asprs.org/a/news/forecast/10-year-ind-forecast.pdf . Accessed 17 July 2019

2. Annoni A, Craglia M, Ehlers M et al (2011) A European perspective on Digital Earth. International Journal of Digital Earth 4:271–284

3. AP® GIS&T Study Group (2018) Bridging high school and introductory undergraduate courses in Geographic Information Science and Technology. Journal of Geography 117:165–173

4. Bacastow T, Steiner D, Handwerk S et al (2019) Knowing your opponent and knowing yourself: lessons from comparing U.S. and Russian Geospatial Intelligence. In: the 2019 State of GEOINT Report, the United States Geospatial Intelligence Foundation, Washington DC

5. Baker T, Battersby S, Bednarz S et al (2015) A research agenda for geospatial technologies and learning. Journal of Geography 114:118–130

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3