Herramientas y recursos de motivación online para actividades en clase

[EN] One essential condition for a good learning process by students is their motivation when facing the activities proposed by teachers in class. New generations of students, already formed by digital natives, push us to face changes in this teaching-learning process. We present a series of online tools that have allowed us to develop different activities such as interactive presentations or collaborative quizzes, among others, and have been very positive for motivating our students in the classroom.[ES] Una de las condiciones esenciales para un buen proceso de aprendizaje por parte del alumnado es la motivación del mismo a la hora de afrontar las actividades propuestas por parte del profesor en clase. Las nuevas generaciones de alumnos, formadas ya por nativos digitales, nos empujan a afrontar cambios en este proceso de enseñanza-aprendizaje. Presentamos una serie de herramientas on-line que nos han permitido la realización de diversas actividades tales como presentaciones interactivas o cuestionarios colaborativos, entre otras, que han resultado ser muy positivas a la hora de motivar al alumno en el aula.Este trabajo ha sido realizado en el marco del proyecto docente UV-SFPIE PID-1640839: “Docencia y evaluación a distancia: uso de herramientas propias de la UV y externas para mejorar la metodología docente en línea e híbrida en el área de ciencias”Adsuara, JE.; Fernández-Morán, R.; Gómez-Chova, L.; Laparra, V.; Ruescas Orient, AB.; Fernández-Torres, M.; Girbés-Juan, V.... (2022). Herramientas y recursos de motivación online para actividades en clase. Editorial Universitat Politècnica de València. 1055-1065. https://doi.org/10.4995/INRED2022.2022.158851055106

Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario

[EN] When new technological tools are introduced in the academic field, there is a need to know the acceptance and motivation for their use by the students. In this paper, we introduce an existing formal methodology called Motivational and Acceptance Model for this purpose, which is initially used for the study of the acceptance of the R programming language in the Hydrology subject of the Degree in Geography and Environment at the University of Valencia. To this end, data are collected by means of a survey with questions about the components of the model, including the perceived usefulness instrument, the attitude toward instrument, the perceived ease of use, the perception of organizational support, as well as the analysis of actual use. Our research aims to determine the relation between these components given different hypotheses based on them, using Structural Equation Modeling.[ES] Siempre que se introducen nuevas herramientas tecnológicas en el ámbito académico existe la necesidad de conocer cuál es la aceptación y la motivación por el uso de las mismas por parte del alumnado. Para ello, en este trabajo se introduce y aplica una metodología formal existente conocida como Motivational and Acceptance Model, la cual sirve en un primer caso para el estudio de la aceptación del uso del lenguaje de programación R en el Grado de Geografía y Medio Ambiente de la Universitat de València. Con esta finalidad, se recogen datos a partir de una encuesta que contempla mediante diferentes preguntas las componentes del modelo, incluyendo la utilidad percibida para la herramiento, la satisfacción que supone el uso de la misma para el alumnado, la facilidad de uso percibida, el nivel de apoyo para el uso de la herramienta percibido, así como el análisis del uso real de la herramienta. Nuestra investigación tiene como objetivo dar respuesta a cuáles son las relaciones entre dichas componentes para diferentes hipótesis, utilizando un modelo de ecuaciones estructurales.Adsuara Fuster, JE.; Pérez-Suay, A.; Ruescas, AB.; Moreno-Martínez, A.; Fernández-Torres, MÁ.; Varando, G.; Fernandez-Moran, R.... (2023). Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario. Editorial Universitat Politècnica de València. 1121-1134. https://doi.org/10.4995/INRED2023.2023.166751121113

Vernakalant in hospital emergency practice: safety and effectiveness

Objectives: To study the effectiveness and safety of vernakalant for restoration of sinus rhythm in patients with atrial fibrillation (AF) in routine hospital emergency department care, and to evaluate factors associated with a more effective response. Material and methods: Prospective multicenter cohort study enrolling consecutive patients who were administered vernakalant for medical cardioversion of AF between September 2014 through March 2016 in 5 hospitals in the Spanish autonomous community of Valencia. Results: We studied 165 cases. The median (interquartile range) was 68 years (56-77) years. Cardioversion with vernakalant was effective in 77.6% (95% CI, 71.1%-84%). The median time to conversion was 8 ( 6-12) minutes after a first dose and 34 (22-62) minutes after a second dose. A prior history of cardiac insufficiency was nonsignificantly less common in patients who converted with vernakalant (6.3%) than in those who did not (18.9%) (adjusted odds ratio [OR], 0.45 [95% CI, 0.13-1.56]; P=.208). Having no prior history of AF was nonsignificantly related to greater effectiveness (in 54.7% vs in 35.1% with prior AF). Duration less than 12 hours was significantly associated with greater effectiveness (83.6% vs 59.5%; adjusted OR, 2.76 [95% CI, 1.12-6.80]; P=.028). Adverse events were reported for 30 patients. None of the events had clinically important consequences, and in only 2 cases (1.2%) was it necessary to suspend treatment

Thermal remote sensing in the framework of the SEN2FLEX project : field measurements, ariborne data and applications

A description of thermal radiometric field measurements carried out in the framework of the European project SENtinel-2 and Fluorescence Experiment (SEN2FLEX) is presented. The field campaign was developed in the region of Barrax (Spain) during June and July 2005. The purpose of the thermal measurements was to retrieve biogeophysical parameters such as land surface emissivity (LSE) and temperature (LST) to validate airborne-based methodologies and to characterize different surfaces. Thermal measurements were carried out using two multiband field radiometers and several broadband field radiometers, pointing at different targets. High-resolution images acquired with the Airborne Hyperspectral Scanner (AHS) sensor were used to retrieve LST and LSE, applying the Temperature and Emissivity Separation (TES) algorithm as well as single-channel (SC) and two-channel (TC) methods. To this purpose, 10 AHS thermal infrared (TIR) bands (8–13 mm) were considered. LST and LSE estimations derived from AHS data were used to obtain heat fluxes and evapotranspiration (ET) as an application of thermal remote sensing in the context of agriculture and water management. To this end, an energy balance equation was solved using the evaporative fraction concept involved in the Simplified Surface Energy Balance Index (S-SEBI) model. The test of the different algorithms and methods against ground-based measurements showed root mean square errors (RMSE) lower than 1.8K for temperature and lower than 1.1 mm/day for daily ET