Scientific Learning Patterns in Geographical Information System

Abstract

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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