488 research outputs found

    Supporting orchestration of blended CSCL scenarios in distributed learning environments

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    El diseño y gestión en tiempo real de escenarios de aprendizaje colaborativo soportado por ordenador (en inglés, CSCL) es una tarea compleja y difícilmente realizable por profesores no expertos, que en los últimos años ha dado en denominarse "orquestación". La presente tesis doctoral profundiza en este concepto de orquestación, y de hecho la primera contribución de la tesis es un marco conceptual para caracterizar la orquestación, destinada a su uso por científicos en el campo del CSCL, validado mediante dos paneles de científicos del CSCL. La tesis también propone los "patrones atómicos" como herramientas conceptuales para que profesores no expertos realicen dicha orquestación, y que se han validado mediante cuatro talleres con profesores de educación primaria y superior. Finalmente, se propone GLUE!-PS, una infraestructura tecnológica para el despliegue y gestión en tiempo real de escenarios CSCL, validada a través de talleres y experiencias auténticas con profesorado universitario.Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática2012-11-2

    Teaching Analytics: Towards Automatic Extraction of Orchestration Graphs Using Wearable Sensors

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    "Teaching analytics" is the application of learning analytics techniques to understand teaching and learning processes, and eventually enable supportive interventions. However, in the case of (often, half-improvised) teaching in face-to-face classrooms, such interventions would require first an understanding of what the teacher actually did, as the starting point for teacher reflection and inquiry. Currently, such teacher enactment characterization requires costly manual coding by researchers. This paper presents a case study exploring the potential of machine learning techniques to automatically extract teaching actions during classroom enactment, from five data sources collected using wearable sensors (eye-tracking, EEG, accelerometer, audio and video). Our results highlight the feasibility of this approach, with high levels of accuracy in determining the social plane of interaction (90%, k=0.8). The reliable detection of concrete teaching activity (e.g., explanation vs. questioning) accurately still remains challenging (67%, k=0.56), a fact that will prompt further research on multimodal features and models for teaching activity extraction, as well as the collection of a larger multimodal dataset to improve the accuracy and generalizability of these methods

    Phenylalanine Hydroxylase (PAH) Genotyping in PKU Argentine Patients

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    Phenylketonuria (PKU, OMIM 261600) is predominantly caused by mutations in the PAH gene. One hundred and three Argentine PKU patients were studied by Sanger sequencing; 101 were completely characterized (90.3% were compound heterozygotes). Fifty-four different pathogenic variants were identified. Mutations were distributed all along the PAH gene but concentrated in exon 7 (26%), 12 (12%), 11 (10%), and 6 (10%). 77% were missense, and 77% affected the enzyme catalytic domain, nine mutations accounted for 57% of 179 studied alleles: p.Arg261Gln (Allele frequency(AF):10.6%), c.1066-11G>A (AF:9,5%), p.Arg408Trp (AF:8,3%), p.Tyr414Cys (AF:5,5%), p.Ala403Val, p.Val388Met, and p.Arg158Gln (AF: 5% each), p.Leu48Ser, and p.Ile65Thr (AF:4% each). The predicted phenotype was assigned by Guldberg´s arbitrary value (AV) and compared with the clinical phenotype based in tolerance to Phe intake. 29.1% (n:30) were hyperphenylalaninemias, 18.5% (n:19) mild-PKU, 27.2% (n:28) moderate-PKU and 25.2 % (n:26) classical-PKU. Genotype/phenotype correlation was statistically significant (p<0.001) Overall concordance was 62,5%: 93.3% in hyperphenylalaninemia, 64.7% in mild-PKU and 65.4% in classical patients. The moderate-PKU showed a weak concordance (17%) with milder AV prediction than clinical assessment. 74% of discordant moderate patients harbored p.Arg261Gln, and p.Val388Met. Our cohort is highly heterogeneous, with predominant Mediterranean influence (mainly Spanish), but with differences with other Latin-American countries.Fil: Enacán, Rosa E.. Fundacion de Endocrinologia Infantil.; ArgentinaFil: Miñana, Mariana Nuñez. Provincia de Buenos Aires. Ministerio de Salud. Hospital de Niños "Sor María Ludovica" de La Plata; ArgentinaFil: Fernandez, Luis. Universidad Autónoma de Madrid; EspañaFil: Valle, María Gabriela. Fundacion de Endocrinologia Infantil.; ArgentinaFil: Salerno, Mercedes. Provincia de Buenos Aires. Ministerio de Salud. Hospital de Niños "Sor María Ludovica" de La Plata; ArgentinaFil: Fraga, Claudia I.. Fundacion de Endocrinologia Infantil.; ArgentinaFil: Santos Simarro, Fernando. Universidad Autónoma de Madrid; EspañaFil: Prieto, Laura. Fundacion de Endocrinologia Infantil.; ArgentinaFil: Lapunzina, Pablo. Universidad Autónoma de Madrid; EspañaFil: Specola, Norma. Provincia de Buenos Aires. Ministerio de Salud. Hospital de Niños "Sor María Ludovica" de La Plata; ArgentinaFil: Chiesa, Ana Elena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones Endocrinológicas "Dr. César Bergada". Fundación de Endocrinología Infantil. Centro de Investigaciones Endocrinológicas "Dr. César Bergada"; Argentina. Fundacion de Endocrinologia Infantil.; Argentin

    Monitoring, Awareness and Reflection in Blended Technology Enhanced Learning: a Systematic Review

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    Education is experiencing a paradigm shift towards blended learning models in technology-enhanced learning (TEL). Despite the potential benefits of blended learning, it also entails additional complexity in terms of monitoring, awareness and reflection, as learning happens across different spaces and modalities. In recent years, literature on Learning Analytics (LA) and Educational Data Mining (EDM) has gained momentum and started to address the issue. To provide a clear picture of the current state of the research on the topic and to outline open research gaps, this paper presents a systematic literature review of the state-of-the-art of research in LA and EDM on monitoring, awareness and reflection in blended TEL scenarios. The search included six main academic databases in TEL that were enriched with the proceedings of the workshop on ’Awareness and Reflection in TEL’ (ARTEL), resulting in 1089 papers out of which 40 papers were included in the final analysis

    Understanding learning at a glance: An overview of learning dashboard studies

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    Research on learning dashboards aims to identify what data is meaningful to different stakeholders in education, and how data can be presented to support sense-making processes. This paper summarizes the main outcomes of a systematic literature review on learning dashboards, in the fields of Learning Analytics and Educational Data Mining. The query was run in five main academic databases and enriched with papers coming from GScholar, resulting in 346 papers out of which 55 were included in the final analysis. Our review distinguishes different kinds of research studies as well as different aspects of learning dashboards and their maturity in terms of evaluation. As the research field is still relatively young, many of the studies are exploratory and proof-of-concept. Among the main open issues and future lines of work in the area of learning dashboards, we identify the need for longitudinal research in authentic settings, as well as studies that systematically compare different dashboard design options

    Doctoral Education for Technology-Enhanced Learning in Europe: report

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    This report informs about the state of doctoral education in the area of Technology-Enhanced Learning (TEL) in Europe. The report aims to inform policy decisions in doctoral education and in the implementation of these policies. We reviewed 35 cases of institutional doctoral education in TEL identified in 11 European countries. The results indicate that educational institutions use different approaches to doctoral education in technology-enhanced learning. The doctoral degrees in this field are awarded by departments in different academic areas, within different study programs, with correspondingly different curricula, and therefore heterogeneous foundational knowledge. The report also contains the results of the survey of doctoral education in TEL. The objectives were to inform the design of curricula in the field, improve doctoral education overall, and to collect background on the current practices and challenges. The survey was implemented as an online questionnaire with 31 close and open questions in seven sections: professional background, thematic content, general PhD training topics, research methods, learning sources, challenges, supervision and mentoring, and personal background. In total, 229 participants responded to the survey, including 103 PhD candidates, 92 PhD holders, and 26 Master’s degree holders. The survey results indicate that doctoral courses and educational materials are most needed in the TEL community for the topics: learning analytics, artificial intelligence in education, personalized and adaptive learning, self-regulated / informal learning, smart / intelligent learning environments, pedagogical patterns, gamification, visualization / visual analytics, mixed and augmented reality, and engagement / emotion / affect. There is a need for courses and enough materials on the general PhD training topics of academic writing and publication, dissemination of research results, communication about research, project management, and research ethics. The primary learning source for TEL topics is academic publications, for general PhD-level training is supervisor help, and for research methods: supervisor help, academic publications, and courses in the PhD program. The most difficult barriers for TEL PhD candidates are work-life balance, project management, and psychological challenges. Among the different challenge areas, those related to supervision are the most reliable predictors of student satisfaction with their doctoral studies. Most innovative supervision practices, such as learning how to write scientific papers by example, team supervision, and discussion of the overall PhD ideas, were found useful by both PhD students and PhD holders. Many of the innovative supervision practices are rare within the TEL community. Overall, doctoral education in TEL reflects the complexity of the interdisciplinary field of TEL. This report provides an input for curricula design, educational and supervision practices, examples of administrative contests, and existing challenges

    Biologic Therapy in Refractory Non-Multiple Sclerosis Optic Neuritis Isolated or Associated to Immune Mediated Inflammatory Diseases. A Multicenter Study

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    We aimed to assess the e cacy of biologic therapy in refractory non-Multiple Sclerosis (MS) Optic Neuritis (ON), a condition more infrequent, chronic and severe than MS ON. This was an open-label multicenter study of patients with non-MS ON refractory to systemic corticosteroids and at least one conventional immunosuppressive drug. The main outcomes were Best Corrected Visual Acuity (BCVA) and both Macular Thickness (MT) and Retinal Nerve Fiber Layer (RNFL) using Optical Coherence Tomography (OCT). These outcome variables were assessed at baseline, 1 week, and 1, 3, 6 and 12 months after biologic therapy initiation. Remission was defined as the absence of ON symptoms and signs that lasted longer than 24 h, with or without an associated new lesion on magnetic resonance imaging with gadolinium contrast agents for at least 3 months. We studied 19 patients (11 women/8 men; mean age, 34.8 13.9 years). The underlying diseases were Bechet?s disease (n = 5), neuromyelitis optica (n = 3), systemic lupus erythematosus (n = 2), sarcoidosis (n = 1), relapsing polychondritis (n = 1) and anti-neutrophil cytoplasmic antibody -associated vasculitis (n = 1). It was idiopathic in 6 patients. The first biologic agent used in each patient was: adalimumab (n = 6), rituximab (n = 6), infliximab (n = 5) and tocilizumab (n = 2). A second immunosuppressive drug was simultaneously used in 11 patients: methotrexate (n = 11), azathioprine (n = 2), mycophenolate mofetil (n = 1) and hydroxychloroquine (n = 1). Improvement of the main outcomes was observed after 1 year of therapy when compared with baseline data: mean SD BCVA (0.8 0.3 LogMAR vs. 0.6 0.3 LogMAR; p = 0.03), mean SD RNFL (190.5 175.4 m vs. 183.4 139.5 m; p = 0.02), mean SD MT (270.7 23.2 m vs. 369.6 137.4 m; p = 0.03). Besides, the median (IQR) prednisone-dose was also reduced from 40 (10?61.5) mg/day at baseline to. 2.5 (0?5) mg/day after one year of follow-up; p = 0.001. After a mean SD follow-up of 35 months, 15 patients (78.9%) achieved ocular remission, and 2 (10.5%) experienced severe adverse events. Biologic therapy is e ective in patients with refractory non-MS ON

    Chromatin regulation by Histone H4 acetylation at Lysine 16 during cell death and differentiation in the myeloid compartment

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    Histone H4 acetylation at Lysine 16 (H4K16ac) is a key epigenetic mark involved in gene regulation, DNA repair and chromatin remodeling, and though it is known to be essential for embryonic development, its role during adult life is still poorly understood. Here we show that this lysine is massively hyperacetylated in peripheral neutrophils. Genome-wide mapping of H4K16ac in terminally differentiated blood cells, along with functional experiments, supported a role for this histone post-translational modification in the regulation of cell differentiation and apoptosis in the hematopoietic system. Furthermore, in neutrophils, H4K16ac was enriched at specific DNA repeats. These DNA regions presented an accessible chromatin conformation and were associated with the cleavage sites that generate the 50 kb DNA fragments during the first stages of programmed cell death. Our results thus suggest that H4K16ac plays a dual role in myeloid cells as it not only regulates differentiation and apoptosis, but it also exhibits a non-canonical structural role in poising chromatin for cleavage at an early stage of neutrophil cell death

    The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

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    Background: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation
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