Technological Ecosystems in Health Sector

[EN]Presentation about the technological ecosystems applied to the health sector related to dementia and other mental disorders. This presentation was made in the INTERDEM meeting in Budapest, April 21, 2016

Looking into the future: Learning services-based technological ecosystems

La gran distancia existente entre la tecnología y las metodologías docentes provoca que los nuevos avances tecnológicos no tengan fácil su integración en los contextos y prácticas metodológicas implantados, y que las tecnologías educativas maduras y los métodos educativos aplicados no respondan a las demandas de la sociedad ni al potencial transformador de la tecnología para la mejora del aprendizaje. Esta contribución plantea la necesidad de ofrecer un entorno tecnológico para el soporte de servicios de aprendizaje, el ecosistema educativo, que rompa con las limitaciones tecnológicas y de proceso de las actuales plataformas tecnológicas para conseguir una mejora de los procesos educativos. La propuesta de ecosistema educativo se concreta en 6 líneas de actuación: 1) arquitectura para la implantación de ecosistemas de servicios de aprendizaje; 2) toma de decisiones basadas en analíticas de aprendizaje; 3) sistemas de gestión de conocimiento adaptativos; 4) formación gamificada; 5) porfolios semánticos para la recogida de evidencias de aprendizaje; 6) metodologías educativas que hagan un uso efectivo de los avances tecnológicos en pro de la mejora del aprendizaje.The existing distance between technology and learning methods have two consequences: on the one hand, it makes the fit of new technological advances and existing educational methods and practices difficult; on the other hand, mature educational technologies and methods might not give an adequate answer to actual society needs and demands, and they may not fully use their transforming potential to improve learning processes. This study discusses the need for a new technological environment supporting learning services: the educational ecosystem. The educational ecosystems must be able to break the technological constraints of existing learning platforms and achieve an effective improvement of learning processes. Our proposal of educational ecosystems pivots around six specific lines of action: 1) an arquitecture that gives support to learning service-based ecosystems; 2) learning analytics for educational decision making; 3) adaptive knowledge systems; 4) gamifications; 5) semantic porfolios to collect learning evidences; 6) learning methods that make and effective use of technology for the improvement of learning processes

Technological Ecosystems that Support People with Disabilities: Multiple Case Studies

Advances in technology, research development, and teaching practices have brought improvements in the training, levels of autonomy, and quality of life of people who need support and resources appropriate to their circumstances of disability. This article focuses on empirically analyzing the usefulness of treatments that have been supported by technology to answer the question "How do technological ecosystems being used help people with special educational needs?" The multiple case study methodology was used to address six categories of analysis: project data, objectives, processes, outputs and outcomes, technologies, and impact. The processes, open in communication, were characterized as transversal, ethical, and sustainable. The results yielded various technological ecosystems that support people with disabilities, deliver the help they need to improve their health, and provide enjoyable user experiences. At the same time, they promote the training and improvement of teaching methodologies and involve families in order to improve their knowledge, attitudes, and care of children, young people, and adults with functional diversityErasmus+ Program of the European Union Commission. Research Group UCM 970781. Early Intervention: Prevention, Detection, and Intervention in Development and Its Disorder

7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2019

Producción CientíficaProceedings of the 7th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2019, León, Spain, October 16-18, 2019.Smart Education promises personalized learning experiences that bridge formal and informal learning. Our proposal is to exploit the Web of Data to automatically create learning resources that can be, later on, recommended to a learner based on her learning interests and context. For example, a student enrolled in an arts course can get recommendations of learning resources (e.g., a quiz related to a monument she passes by) by exploiting existing geolocalized descriptions of historical buildings in the Web of Data. This paper describes a scenario to illustrate this idea and proposes a software architecture to support it. It also provides some examples of learning resources automatically created with a first prototype of a resource-generator module.Ministerio de Ciencia, Innovación y Univerisades (project grant TIN2017-85179-C3-2-R)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. Project VA257P18

Inter-Generational Transitions in Technological Ecosystems: The Case of Mobile Telephony

Many technology studies have conceptualized transitions between technological generations as a series of S-curve performance improvements over time. Surprisingly, the interregnum between successive technological generations has received little attention. To understand what happens in the interregnum, we build upon a framework of technological change as happening within an ecosystem that is characterized by both momentum and inertia. Applying this framework to study the mobile communications ecosystem, we found that the transition between 2G to 3G wireless was far from sequential. Different parts of the ecosystem evolved at different rates exerting both inertia and momentum with 'collateral technologies' playing an important role in shaping the transition path that unfolded. Based on this study we suggest that, rather than a distinct or unitary shift from an old to a new technology, transitions proceed in a zigzag manner resulting in the emergence of hybrid technologies. These processes hold implications for both theory and practice that we explore in this paper

Human Interaction in Learning Ecosystems based on Open Source Solutions

Technological ecosystems are software solutions based on the integration of heterogeneous software components through information flows in order to provide a set of services that each component separately does not offer, as well as to improve the user experience. In particular, the learning ecosystems are technological ecosystems focused on learning and knowledge management in different contexts such as educational institutions or companies. The ecosystem metaphor comes from biology field and it has transferred to technology field to highlight the evolving component of software. Taking into account the definitions of natural ecosystems, a technological ecosystem is a set of people and software components that play the role of organisms; a series of elements that allow the ecosystem works (hardware, networks, etc.); and a set of information flows that establish the relationships between the software components, and between these and the people involved in the ecosystem. Human factor has a main role in the definition and development of this kind of solutions. In previous works, a metamodel has been defined and validated to support Model-Driven Development of learning ecosystems based on Open Source software, but the interaction in the learning ecosystem should be defined in order to complete the proposal to improve the development process of technological ecosystems. This paper presents the definition and modelling of the human interaction in learning ecosystem

Educational Innovation with a Multicultural Perspective

[EN] Knowledge Society challenges and issues require of complex technological systems that may evolve and interoperate each other. This complexity means to reorganize these systems as a set of components that may offer services, interact and evolve in very different ways including capabilities such as adaptation and intelligent behaviors. Also, the users should be considered as other important components of these so called technological ecosystems. The Technological Ecosystems for Enhancing Multiculturality – TEEM Conference is an event that studies the most significant advances in this research area, in which the Engineering approach is always a key factor. From the last edition of this event, TEEM 2014, that was held in the University of Salamanca in October 1-3, 2014, were selected seven papers that have extended and reviewed again. Three of these papers were finally accepted for publication in VAEP-RITA / IEEE RITA journal