• Modelo de asociación entre objetos y estilos de aprendizajes para una Plataforma de aprendizaje adaptativo

      Luis Maza Arnao; Raymundo Ibañez, Carlos Arturo; Dominguez, Francisco (International Institute of Informatics and Systemics, IIIS, 2017-03)
      Adaptive learning systems constitute a new approach to e-learning systems, they allow adapting the content to the individual characteristics of students. Two of its main components are the domain model and the student model, whose key elements are the learning objects (OA) and learning style, respectively. LOs are digital educational content provided by the course while learning style will define how the student learns. Within this context the motivation of this study is to propose a partnership model for relating the LOs with student learning styles. After conducting a systematic review of previous work related a mathematical model of partnership LOs and learning styles by reference to their type of format and content type to determine which is associated LOs better student learning style is presented.
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    • Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance

      Ampuero, Libusi; Alfaro, Rosa; Raymundo Ibañez, Carlos Arturo; Dominguez, Francisco (International Institute of Informatics and Systemics, IIIS, 2017-03)
      Data management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. In this way ensure the success of a Data Governance initiative.
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