ResumenEn este artículo se presenta y discute la experiencia de la Dirección de Educación Virtual de la Universidad Tecnológica de Bolívar en Cartagena de Indias, Colombia, sobre el uso de Tecnologías de la Información en la enseñanza y formación de profesionales. En particular se discute la experiencia lograda con el desarrollo y uso del Sistema de aprendizaje Virtual Interactivo (SAVIO), como una herramienta base del modelo pedagógico que permitió flexibilizar los procesos de enseñanza-aprendizaje en el sistema presencial de la universidad. A través de los años el uso de SAVIO como plataforma virtual se ha extendido y ha permitido el desarrollo de nuevas aplicaciones y métodos para la enseñanza., transformándose en un programa exitoso que puede ser replicado en otras instituciones.. Palabras clave: software libre, educación virtual, herramientas, construcción de contenidos, TIC Use of Free Software for the Development of Teaching Material AbstractThe experience of the Dirección de Educación Virtual de la Universidad Tecnológica de Bolívar en Cartagena de Indias, Colombia on the use of information technology in teching and formation of professionals is analyzed and discussed. In particular the experience achieved with the development and use of the Interactive Virtual Learning System (SAVIO), as the main tool for a new teaching model that allowed changes in the traditional teaching-learning process with the presence of the instructor and the students. Through the years the use of SAVIO has extended and has allowed new applications and new teaching methods, becoming a successful experience that could be replied in other institutions.

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This paper presents an Air Quality Monitoring System for the city of Cartagena de Indias. The goal of this system is to monitor the air quality in the city and to establish the current state of the air Cartagena's citizen breathe. Data is going to be acquired through a sensor network, and the information is going to be displayed on web or mobile application allowing access from anywhere in the world to anyone that may be interested. It is expected that the availability of this information allows research centers, educational institutions, and government to design plans for prevention and improvement of the air quality in the city based on historical and real-time data.

This paper extends previous works on multi-agent-based simulation models of Coupled Human and Natural Systems (CHANS), by introducing a farmer agent model capable of interact with environmental, economic, and spatial variables in the context of supply and demand of environmental services. Emphasis is made on how the Farmer Agent implements the BDI framework (Believes, Desires, and Intentions) at its core. Also, insights about its decision-making mechanism based on fuzzy logic are provided. Preliminary results are shown in terms of modulating variables such as knowledge, money, well-being, energy, and productivity.

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