An ontological-based approach to geographic information science curricula design

Marco Painho, Paula Curvelo, Ignacio Jovani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The growing recognition of the crucial role geographic information plays within the Knowledge Society, the recent advances on geographic information technologies, the continuous demand for professionals in these areas and the use of new information and communication technologies in teaching and learning processes, are all factors which concur for a better systematization of Geographic Information Science Curricula in order to improve its accessibility and efficiency. The program contents, the teaching methods to be implemented, the policies context and the underlying notion of curriculum, have led to the establishment of a Curricula Development Model that is trying to answer a set of challenges/ opportunities situated at different levels (pedagogical, educational, politicalinstitutional and technological).The ontological-based approach translates the concern with integration and articulation of the curriculum, and the need for the development of a properly documented and structured methodology that allows for the definition and explanation of the processes considered fundamental for an effective improvement and innovation of wide-ranging curricula in this area.

Original languageEnglish
Title of host publicationThe European Information Society
Subtitle of host publicationLeading the Way with Geo-Information
Pages15-34
Number of pages20
Publication statusPublished - 1 Dec 2007
Event10th Association of Geographic Information Laboratories for Europe Conference, AGILE 2007 - Aalborg, Denmark
Duration: 8 May 200711 May 2007

Conference

Conference10th Association of Geographic Information Laboratories for Europe Conference, AGILE 2007
CountryDenmark
CityAalborg
Period8/05/0711/05/07

Keywords

  • Bologna process
  • Curricula development model
  • Geographic information science
  • GIscience ontology
  • Learning paths
  • Visualization tools

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