地理信息系统中的科学学习模式

2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE) Pub Date : 2017-11-01 DOI:10.1109/MITE.2017.00013

N. Panigrahi, Smita Tripathy

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引用次数: 2

摘要

CDF(概念-定义-公式)、IPO(输入-处理-输出)、MVC(模型-视图-控制)和DIKD(数据-信息-知识-决策)是地理信息系统(GIS)展示的一些基本学习模式。本文分析了这些学习模式在不同形式的GIS中所表现和运用的有效性。此外，这些模式的相关性通过不同的例子来检验，以建立GIS的协作性质。对这些模式的初步研究表明，GIS的时空科学、工程、技术和应用前景之间存在很强的相关性。进一步分析这些相关性，得出GIS作为多学科教育平台的协作性质。

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Scientific Learning Patterns in Geographical Information System

CDF (Concept-Definition-Formula), IPO (Input-Processing-Output), MVC (Model-View-Control) and DIKD (Data-Information-Knowledge-Decision) are some of the fundamental learning patterns exhibited by Geographic Information Systems (GIS). This paper analyzes the effectiveness of these learning patterns exhibited and exercised by GIS in different forms. Further, the correlation of these patterns is examined with various examples to establish the collaborative nature of GIS. Preliminary investigation of these patterns has revealed a strong correlation among the spatio-temporal science, engineering, technology and application perspectives of GIS. These correlations are further analyzed to derive the collaborative nature of GIS as a multi-disciplinary educational platform.

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2017 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE)

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