用Python建立和实现ArcGIS处理地图和地理空间数据在高等教育地理信息系统教学中的应用

Q1 Social Sciences
N. Karelkhan, Aknur Kadirbek, Peter Schmidt
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引用次数: 0

摘要

地理信息系统作为教育的教学工具,与跨学科和自然科学密切相关。目前,地理信息系统在教育过程中的应用对高等教育具有巨大的潜力。本文介绍了一个地理信息系统课程的教学系统,以及教育工作者可以选择的广泛信息来源。地理信息系统专题课程的教学体系分为内容结构、组织结构和方法结构。介绍了地理信息系统专业课程的理论基础和实践基础。此外,本文还提供了有关使用Python设置和实现ArcGIS以处理地图和地理空间数据的实际工作的信息。本文所述的教学系统被用于Gumilyov欧亚国立大学(哈萨克斯坦阿斯塔纳)和K.Zhubanov Aktobe地区大学(哈萨克斯坦阿克托别)的教育过程。这项实验研究通过使用ArcGIS调查现实世界中的问题,考察了119名高等教育学生在获得网络地图技术技能时,对地理能力的感知是如何演变的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Setting Up and Implementing ArcGIS to Work with Maps and Geospatial Data with Python for Teaching Geoinformation Systems in Higher Education
Geoinformation systems, as teaching tools in education, are closely linked to interdisciplinary and natural sciences. Currently, the application of geoinformation systems (GIS) in the educational process holds great potential for higher education. This paper presents a pedagogical system for teaching and learning a GIS course, along with a wide range of information sources that educators can choose from. The pedagogical system of introducing special GIS courses is divided into content, organizational and methodological structures. The theoretical and practical foundations of the introduction of special GIS courses are also considered. Additionally, the paper provides information about practical works setting up and implementing ArcGIS to work with maps and geospatial data with Python. The pedagogical system described in this paper was employed in the educational process of the L.N. Gumilyov Eurasian National University (Astana, Kazakhstan) and K. Zhubanov Aktobe Regional University (Aktobe, Kazakhstan). This experimental research examines how perceptions of geocapabilities evolved among 119 higher education students as they acquired technical skills in web mapping by investigating real-world issues with ArcGIS.
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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