Héctor Sánchez Santamaría

Analysis of the factors generating vehicular traffic in the city of Quito and its relation to the application of sensorial and social data with big data as a basis for decision making

This research corresponds to a first phase of study on the search of the main causes that generate vehicular traffic in the Metropolitan District of Quito and approaching potential application I.3 through the use of intelligent systems based on social networks and sensorial data using Big Data. So the current situation of the city is analyzed as well as the problem that traffic represent for Quito, subsequently the analysis of various cases throughout the world who have suffered the problem of traffic congestion is summarized and then is analized and related with solutions that have been taken and which have improved mobility in these cities. While the focus of this study is not to provide direct solutions to the problem of transportation but rather to present the diagnosis of the main problems. The study deepens with field research with 95% confidence to a total of 384 people by random cluster sampling, seeking to make a representative study of the population that is transported in Quito through a poll. The results determined that the population considers congestion as one of the main problems of the city. Meanwhile in research the perception of the population is presented about the various problems that generate traffic in the city. The vehicular increase and the lack of public transport use are analyzed as part of the results and finally the feasibility of using tools such as social networking identified as potential tools to capture information that allows analyzing alternative solutions to traffic congestion. The study concludes with an analysis of both the main problems and potential solutions to improve traffic and the feasible use of social network Twitter as a tool for decision making for better efficiency of traffic by better use of routes by transportation means as vehicles, achieving research with an initial analysis, but critical to the implementation of potential solutions for decision making in improving traffic congestion in the city.

Proposed methodology for learning english with the use of TICs: Case: Universidad tecnológica equinoccial

The study presents a proposal for Learning English as a Foreign Language at the “Universidad Tecnologica Equinoccial” (UTE), making use of the Information Technology and based on a previous pedagogical and technological analysis. Internal diagnostics assessed the use of virtual platforms used at UTE and deepened with a diagnostic field research, interviews with some teachers and students, a total of 3072 students and 27 teachers. From the results, a methodological proposal that presents the tools used, components, evaluation, a class structure and practices to be applied to improve Learning English is made. The methodology emphasizes the oral production and listening, through permanent Practices and Activities.

Design and assessment of adaptative hypermdia games for English acquisition in preschool

The increasing popularity of hypermedia games is reaching far beyond the boundaries of entertainment and edging its way into many educational domains. The growth in game technologies has created new teaching environments through proposals combining learning with fun and motivating expectations which make the use of digital games a relevant trend in versatile learning situations at all educational levels. Based on the implementation of the Shaiex project, funded by the government of Extremadura (Spain) and develop by the research group GexCALL, the aim of this paper is twofold. First, it analyses the steps and requirements for the design of adaptive games for the teaching of English as a foreign language at the preschool level. Exploring the general premises for task adaptation by personalizing content to children’s needs and abilities, the implementation of the whole design is described in light of its applicability. Second, an assessment of the adaptive games designed is conducted, based on the assumption that selecting developmentally appropriate digital experiences to meet users’ expectations and to maximize their learning potential should undergo careful evaluation.