Learning with Artificial Intelligence: application in an operative mapping course

Authors

DOI:

https://doi.org/10.5821/jida.2024.13211

Keywords:

artificial intelligence, ChatGPT, cartography, teaching innovation, GIS

Abstract

Artificial Intelligence has abruptly burst into the daily life of society and the reality of many sectors has been transformed, almost run over, by this technology almost without time to react, with consequences that are difficult to quantify today. Teaching is not exempt from this storm and research is needed to be able to use this powerful tool in an appropriate way. This paper presents the teaching innovation experience 'Learning with Artificial Intelligence: application in a cartography classroom', which encourages the development of personal critical thinking, of great importance for learning cartographic thinking and algorithmic logic; and introduces Artificial Intelligence in the procedural resolution of the challenges posed in the classroom in the use of GIS, giving students greater autonomy in a context characterized by uncertainty and strong changes in the use of tools and processes.

Author Biography

Sergio García-Pérez, Universidad de Zaragoza

Assistant Professor of Urban Design and Planning at the University of Zaragoza, Spain. His research focuses on urban morphology and the analysis of its quality, considering the regeneration possibilities of different urban tissues at different scales (funded by the Ministry of Economy and Competitiveness, 2015-19; Ministry of Universities, 2022). As practitioner, he has worked for the urban planning office 300.000 Km/s (National Prize for Urban Planning awarded by the CSCAE in 2019), collaborating on projects related to urban analysis, housing and urban regeneration (2020-22). Research stays at Universidade do Porto (2018, 2022) and Université Paris I-Sorbonne (2019). His research has been published in journals such as Cities, Sustainable Cities and Society, ACE, Territorio, Science of the Total Environment or Zarch.

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Published

2024-11-08

Issue

JIDA'24

Section

PAPERS