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    Psychiatric patients tracking through a private social network for relatives: development and pilot study
    (Springer, 2016-07) García-Peñalvo, F. J.; Franco Martín, M.; García-Holgado, A.; Toribio Guzmán, J. M.; Largo Antón, J.; Sánchez-Gómez, M. C.
    The treatment of psychiatric patients requires different health care from that of patients from other medical specialties. In particular, in the case of Department of Psychiatry from the Zamora Hospital (Spain), the period of time which patients require institutionalized care is a tiny part of their treatment. A large part of health care provided to the patient is aimed at his/her rehabilitation and social integration through day-care centres, supervised flats or activities. Conversely, several reports reveal that approximately 50% of Internet users use the network as a source of health information, which has led to the emergence of virtual communities where patients, relatives or health professionals share their knowledge concerning an illness, health problem or specific health condition. In this context, we have identified that the relatives have a lack of information regarding the daily activities of patients under psychiatric treatment. The social networks or the virtual communities regarding health problems do not provide a private space where relatives can follow the patient's progress, despite being in different places. The goal of the study was to use technologies to develop a private social network for being used by severe mental patients (mainly schizophrenic patients). SocialNet is a pioneer social network in the health sector because it provides a social interaction context restricted to persons authorized by the patient or his/her legal guardian in such a way that they can track his/her daily activity. Each patient has a private area only accessible to authorized persons and their caregivers, where they can share pictures, videos or texts regarding his/her progress. A preliminary study of usability of the system has been made for increasing the usefulness and usability of SocialNet. SocialNet is the first system for promoting personal interactions among formal caregivers, family, close friends and patient, promoting the recovery of schizophrenic patients. Future studies should study the network’s potential usefulness for improving the prognosis and recovery of schizophrenia.
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    Enabling adaptability in web forms based on user characteristics detection through A/B testing and machine learning
    (IEEE, 2018-02-14) Cruz-Benito, J.; Vázquez-Ingelmo, A.; Sánchez-Prieto, J. C.; Therón, R.; García-Peñalvo, F. J.; Martín-González, M.
    This paper presents an original study with the aim of improving users' performance in completing large questionnaires through adaptability in web forms. Such adaptability is based on the application of machine-learning procedures and an A/B testing approach. To detect the user preferences, behavior, and the optimal version of the forms for all kinds of users, researchers built predictive models using machine-learning algorithms (trained with data from more than 3000 users who participated previously in the questionnaires), extracting the most relevant factors that describe the models, and clustering the users based on their similar characteristics and these factors. Based on these groups and their performance in the system, the researchers generated heuristic rules between the different versions of the web forms to guide users to the most adequate version (modifying the user interface and user experience) for them. To validate the approach and con rm the improvements, the authors tested these redirection rules on a group of more than 1000 users. The results with this cohort of users were better than those achieved without redirection rules at the initial stage. Besides these promising results, the paper proposes a future study that would enhance the process (or automate it) as well as push its application to other  elds
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    Towards a social and context-aware mobile recommendation system for tourism
    (Elsevier, 2017-06-11) Colomo-Palacios, R.; García-Peñalvo, F. J.; Stantchev, V.; Misra, S.
    Loyalty in tourism is one of the main concerns for tourist organizations and researchers alike. Recently, technology in general and CRM and social networks in particular have been identified as important enablers for loyalty in tourism. This paper presents POST-VIA 360, a platform devoted to support the whole life-cycle of tourism loyalty after the first visit. The system is designed to collect data from the initial visit by means of pervasive approaches. Once data is analysed, POST-VIA 360 produces accurate after visit data and, once returned, is able to offer relevant recommendations based on positioning and bio-inspired recommender systems. To validate the system, a case study comparing recommendations from the POST-VIA 360 and a group of experts was conducted. Results show that the accuracy of system’s recommendations is remarkable compared to previous efforts in the field.
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    Delphi study to identify the young people priorities about digital society
    (ACM, 2018-10-24) Rodríguez-Conde, M. J.; García-Holgado, A.; Zangrando, V.; García-Peñalvo, F. J.
    This paper aims to present an advance of the results of the application of the Delphi technique, with the aim of gathering the opinion of experts or stakeholders on the topics of priority interest of young people in Europe, especially on the digital society. It is a work framed within the Horizon 2020 WYRED Project (netWorked Youth Research for Empowerment in the Digital Society). !e WYRED project, and in this specific case the Networking process, aims in bringing together children, young people, other stakeholders and policymakers around Europe. !e Delphi technique is one of the prospective methods that study the future, concerning the evolution of the factors of the techno-socio-economic environment and the interactions between these factors. !e characteristics that define this technique are anonymity, iteration and controlled feedback, and presentation of group data in the statistical form. !e progress of the presented results allows us to corroborate the agreement of experts about the topics that have been raised. According to experts, the concern of youth towards issues related to the digital society does not appear among the first concerns of young people neither in Spain nor the rest of the countries surveyed.
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    Association rules with SIA in B-Learning Courses: A mapping review
    (Editorial Virtual Argentina, 2017-04-20) Pazmiño-Maji, R. A,; García-Peñalvo, F. J.; Conde-González, M. Á.
    According to scopus between the years 2012 and 2016 there are 3556 scientific documents about Blended Learning, these have been and are still an emerging learning methodology. With this document, we determine the association rules with statistical implicative analysis (SIA) in B-Learning courses in Science Faculty at the ESPOCH University. To this end, we use mapping review in the blended learning courses used in the last 5 years (2012 to 2016) in Institutional platform, milaulas.com, and google. We started with 3350 B-Learning courses and finally 13 had all quality criteria. This document also describe a Institutional experience about Association rules with SIA in B-Learning Courses in the last five years.
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    Learning Objects to Strengthen Learning. Experience in Regular Basic Education in Perú
    (IEEE, 2018-10-01) Villalba-Condori, K. O.; Deco, C.; Bender, C.; García-Peñalvo, F. J.; Castro Cuba, S.; Cisneros Chavez, B. C.; Gutierrez Aguilar, O. A.
    In this article we analyze the elaboration and application of Learning Objects in real contexts of Regular Basic Education in Peru, for the Initial, Primary and Secondary levels. Four cases were analyzed using a quasiexperimental research design with a pretest and a posttest. Significant differences were obtained on the academic performance that was the dependent variable. The OADDIE methodology was used to implement the objects, and the HEODAR tool was used to evaluate the objects before their application. The metadata used correspond to those set out in previous works related to the design of a recommendation system based on the learning purpose. Although the repository has not yet been implemented, this first experience with objects under this design was satisfactory since positive differences were obtained between the pretest and the posttest. In addition, the possibility of acquiring learning from the use of these objects for the purpose of learning was improved.
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    RITEC & CRIS: Interoperabilidad para visibilidad y medición del impacto de la producción científica energética
    (Narcea, 2018-12-01) González-Pérez, L. I.; Ramírez-Montoya, M. S.; García-Peñalvo, F. J.; Gibrán Ceballos, H.; Juárez Ibarra, E. A.
    El Tecnológico de Monterrey cuenta con dos plataformas para la gestión y la difusión del conocimiento científico, las cuales son el Sistema de Información de Investigación Actual (Current Research Information System – CRIS) para la gestión institucional interna y el Repositorio Institucional (RI) desarrollado como parte del movimiento educativo abierto para dar visibilidad externa en formato abierto a la investigación desarrollada por la institución. Los investigadores capturan su producción científica, como son artículos de revista, libros, capítulos de libro, artículos de conferencias, tesis entre otros, en los dos sistemas y esto hace que la captura de la misma información se duplique. El objetivo de este capítulo es dar a conocer la estrategia que se llevó a cabo, para encontrar puntos en común de ambos sistemas y así permitir la interoperabilidad entre ellos, a través de la iniciativa del proyecto “Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energética y la Formación Tecnológica”. Para abordar el tema se planteó la siguiente pregunta de investigación, ¿cómo se relacionan los CRIS y los del RI para que sean interoperables? Para contestar a ello, se utilizó el método comparativo. Los resultados apuntan a que su relación se entrelaza al homogeneizar los metadatos utilizados en el CRIS y en el RI a través de protocolos de interoperabilidad (e.g. SWORD, OAI) y enviar de forma unidireccional la captura de la producción científica del CRIS hacia el RI, en primera instancia, para la captura de la producción científica del proyecto mencionado, a través de una interfaz única.
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    Using Learning Analytics to Detect Authentic Leadership Characteristics in Engineering Students
    (2018-05-01) Sein-Echaluce, M. L.; Fidalgo-Blanco, Á.; Esteban-Escaño, J.; García-Peñalvo, F. J.; Conde, M. Á.
    Previous research has shown that teamwork between students underpins the communication interactions among team members, and these interactions are underscored in the work environment, job quality, work outcome and, of course, grades. Analysing the interactions among the members of a team using a learning analytics system allows for a forma-tive evaluation that indicates the progress of each team member and taking remedial actions if appropriate progress has not been made. This paper uses a learning analytics system to study interactions between students and detect the values and attitudes demanded of a leader by society. The results of this analysis are keys for avoiding corruption and wrong practices and can even provide a solution to global intercultural troubles. In this study, a validated questionnaire of authentic leadership was given to 78 team members in a university context; the influence of some values and attitudes on leadership is proved with grades; and a learning analytics system was used to analyse information that could predict a leader’s behaviour during the development of teamwork.
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    Ontological flip teaching: A flip teaching model based on knowledge management
    (2018-09-01) Fidalgo-Blanco, Á.; Sein-Echaluce, M. L.; García-Peñalvo, F. J.
    Training models are designed for students to acquire knowledge at the individual level. Yet that knowledge is not usually applied later to increase organisational knowledge, as represented by the didactic resources available on a subject, nor to improve the effectiveness of the subject itself. In industrial, economic and production areas, knowledge is considered a part of an organisation’s value. This takes into account the knowledge that is acquired by individuals while doing their work, which can both help improve the work of their peers and increase the overall knowledge available within the organisation. In this work, the student of an educational organisation is considered a person who is able to share the knowledge they have acquired on a given subject so that other students can improve their learning. This work proposes the integration of the classic Flip Teaching model that usually involves students/trainees viewing lectures outside of class time while class time is dedicated to practical exercises, with a knowledge spiral that involves ontological and time dimensions. This integration allows to convert individual knowledge into organisational knowledge through the resources that are created by students over the continuous editions of a training course. A quasi-experimental method proves that the new model, called Ontological Flip Teaching, increases the effectiveness and efficiency of the classic Flip Teaching model in the acquisition of the teamwork competence. The results are based on the students’ opinion about workload and time spent to develop both models, the final grades and the student–student interactions.
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    Improving the information society skills: Is knowledge accessible for all?
    (2018-07-01) Fonseca, D.; Conde, M. Á.; García-Peñalvo, F. J.
    The emergence and popularization of information and communications technologies (ICT) is changing modern society and its educational landscape. ICT facilitates individuals’ ability to learn anywhere and at any time. In fact, by using ICT, access to knowledge acquisition is not restricted to formal contexts, such as academic institutions. This position paper reviews the educational contexts in which new learning strategies using ICT have been adapted, by focusing on how users access information and improve their digital skills. Our initial hypothesis is that in technological environments, learners use very specific devices and applications to access information, because content accessibility depends on both the user’s profiles and ICT. We demonstrate this through a case study applied in several Spanish university inst