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Item A Dashboard to Support Decision-Making Processes in Learning Ecosystems: A Metamodel Integration(ACM, 2020-11-06) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Therón, R.There are software solutions to solve most of the problems related to information management in any company or institutions, but still, there is a problem for transforming information into knowledge. Technological ecosystems emerge as a solution to combine existing tools and human resources to solve different problems of knowledge management. In particular, when the ecosystem is focused on learning processes associated with knowledge are named learning ecosystems. The learning ecosystem metamodel defined in previous works solves several problems related to the definition and implementation of these solutions. However, there are still challenges associated with improving the analysis and visualization of information as a way to discover knowledge and support decision making processes. On the other hand, there is a metamodel proposal to define customized dashboards for supporting decision-making processes. This proposal aims to integrate both metamodels as a way to improve the definition of learning ecosystems.Item A meta-model to develop learning ecosystems with support for knowledge discovery and decisionmaking processes(IEEE, 2020-06-24) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Therón, R.There are software solutions to solve most of the problems related to information management in any company or institutions, but still, there is a problem for transforming information into knowledge. Technological ecosystems emerge as a solution to combine existing tools and human resources to solve different problems of knowledge management. In particular, when the ecosystem is focused on learning processes associated with knowledge are named learning ecosystems. The learning ecosystem metamodel defined in previous works solves several problems related to the definition and implementation of these solutions. However, there are still challenges associated with improving the analysis and visualization of information as a way to discover knowledge and support decision making processes. On the other hand, there is a metamodel proposal to define customized dashboards for supporting decision-making processes. This proposal aims to integrate both metamodels as a way to improve the definition of learning ecosystems.Item A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare(MDPI, 2020-07-22) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Therón, R.Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge—experience, skills, insights, intuition, judgment and know-how—into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domainItem Technological Ecosystems in Citizen Science: A Framework to Involve Children and Young People(MDPI, 2020-03-01) García-Holgado, A.; García-Peñalvo, F. J.; Butler, P.Young people are distinguished as a social group with the capacity to drive new behaviours and understandings in today’s society. However, most young people consider that people in charge of decision-making processes are not addressing their concerns. The WYRED project proposes a framework for citizen science based on a technological ecosystem to promote the transfer of perspectives, ideas, and knowledge among young people and decision-makers on issues related to the digital society. The work goal is to analyse the model proposed through a citizen science case study centred in identifying the ideas and opinions of children and young people between 7 and 30 years old, concerning gender stereotypes on the Internet. A total of 69 children and young people from Belgium, Italy, Spain, Turkey, Ukraine, and the United Kingdom have interacted for two weeks in a private space guaranteed by the defined ecosystem. The results of the analysis of the interaction between young people and facilitators (with di erent profiles: educators, researchers and decision-makers) demonstrate that the use of technological ecosystems to sustain the development of citizen science projects allows for the improvement of knowledge transfer processes between children and young people with stakeholders, as well as the analysis of these processes.Item Dashboard meta-model for knowledge management in technological ecosystem: a case study in healthcare(MDPI, 2019-12-02) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Therón, R.Informal caregivers play an important role in healthcare systems in many countries. They have a high impact on reducing care costs related to dependent persons because their support prevents institutionalization. A technological ecosystem has been defined to support informal caregivers using psychoeducation techniques. This ecosystem should include a dashboard to support decision-making processes related to the wellbeing of patients and caregivers. A dashboard meta-model was used to obtain a concrete model for the presented context. This meta-model allows defining dashboards adapted the users' needs and specific data domains