Several tools and resources have been developed in the past years to enhance the teaching and learning process. Most of them are focused on the process itself, but few focus on the assessment process to detect at-risk learners for later acting through feedback to support them to succeed and pass the course. This research paper presents a case study using an adaptive system called Learning Intelligent System (LIS). The system includes an Early Warning System and tested in a fully online university to increase learners’ performance, reduce dropout, and ensure proper feedback to guide learners. LIS also aims to help teachers to detect critical cases to act on time with learners. The system has been tested in two first-year courses in the fully online BSc of Economics and Business at the Universitat Oberta de Catalunya. A total of 552 learners were participating in the case study. On the one hand, results show that performance is better than in previous semesters when using it. On the other hand, results show that learners' perception of effectiveness is higher, and learners are willing to continue using the system in the following semesters because it becomes beneficial for them.

Introducción. El presente estudio analiza el uso de las redes sociales por parte de los centros deportivos municipales (CEM) de Barcelona y como esto puede relacionarse con la práctica de ejercicio físico. Metodología. Se calculó el engagement de los centros deportivos municipales de Barcelona mediante el registro de las interacciones en sus redes sociales (Facebook y Twitter), para luego determinar la relación existente entre el engagement y la práctica de ejercicio físico en Barcelona. Resultados. Los datos muestran que existe una relación positiva entre el engagement y la práctica de actividad física. Además, se identifica que los likes de Facebook determinaron la mayor relación. Discusión y conclusiones. A pesar de que la recogida de datos fue muy acotada (82 días), se recomienda que los centros deportivos gestionen la comunicación mediante redes sociales y presten atención en como involucrar a los usuarios

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El objetivo de este trabajo es el de identificar y analizar los factores que subyacen en el nivel de satisfacción de los usuarios de centros deportivos municipales que realizan actividades dirigidas y compararlo con aquellos usuarios que no hacen uso de este servicio. Los datos fueron recogidos de una encuesta entre los clientes de centros deportivos municipales, de los que 536 sujetos  manifestaron realizar actividades dirigidas en el centro. Las mujeres y los usuarios con un nivel de estudios secundarios son los que más utilizan estos servicios. Un análisis factorial aplicado revela tres dimensiones que contribuyen a la satisfacción, en ambos casos, pero la composición de cada uno de ellos es diferente. Finalmente, del análisis de regresión múltiple se desprende que un gerente debe prestar atención, en primer lugar, a la calidad de las instalaciones y la comunicación ya que fueron el mejor predictor de la satisfacción. The aim of this work is to identify and analyze the factors that underlie the level of satisfaction of users of municipal sports centers that conduct directed activities and compare it with those users who do not use this service. Data were collected in a survey among users of municipal sports centers, of which 536 subjects stated that they carried out directed activities at the center. Women and users with a high school level are the ones who use these services the most. An applied factor analysis reveals three dimensions that contribute to satisfaction, in both cases, but the composition of each of them is different. Finally, the multiple regression analysis shows that a manager must pay attention, first of all, to the quality of the facilities and communication since they were the best predictor of satisfaction.

The sports center sector is undergoing a complete transformation. Knowing users’ behavior regarding sport expenditure is needed to be able to act in terms of the future of the sector. This study analyzes the expenditure of people in Spain who are members of sports centers. Adult members were asked about their sport expenditure in several defined categories. An analysis of variance (ANOVA) and a multiple logistic regression analysis were carried out. The results show that the variables of time of participation, federation membership, and income have predictive value in terms of sport expenditure. Age and educational level also explain the significant differences in sport expenditure in its different categories. This study suggests the importance of identifying the behavior of sports center users with reference to sport expenditure as an essential component of the future strategy of the sector.