Identificación, implementación y evaluación de las competencias genéricas en el currículo de las licenciaturas mixta y no escolarizada en la Universidad del Valle de México
Tesis Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Español En esta investigación, se pretende abordar las competencias genéricas que se desarrollan en el estudiante de licenciaturas como parte de su perfil de egreso de todo plan de estudios, desde el paradigma interpretativo, basada en el estudio de los significados de acciones humanas y de la vida social en el fenómeno educativo, buscando su comprensión y significado. Para el diseño de la investigación, se ha seleccionado el modelo de investigación acción, siendo el objetivo fundamental el aportar información que guíe la toma de decisiones y los procesos de cambio institucional en el área curricular de habilidades profesionales para la mejora del perfil de egreso del estudiante. El enfoque de la investigación principalmente será mixto, porque incluye un paradigma cualitativo, con un diseño de investigación-acción; conjuntamente con la investigación cuantitativa, con alcance descriptivo: declarando hipótesis y variables, sistematizando la información a través de métodos estadísticos. El tipo de muestreo será probabilístico y la muestra se seleccionará por unidades muestrales denominadas grupos de clase los cuales contienen a los alumnos en su listado de inscritos por ciclo escolar en la modalidad mixta y no escolarizada en las asignaturas denominadas ilab UVM correspondientes al área curricular de Habilidades Profesionales durante el periodo 2020 y 2021. El objetivo concreto será el de implementar y evaluar competencias genéricas dentro del área curricular de Habilidades Profesionales como parte de la actualización de los planes de estudio de licenciatura 2020 – 2021| en modalidad mixta y no escolarizada de la Universidad del Valle de México. Así mismo, dentro de los resultados esperados, es el de lograr una innovación en las metodologías y actividades de enseñanza y aprendizaje que se implementarán en su diseño instruccional de las asignaturas en línea. metadata Castro Nuñez, Ricardo mail ricardo.castro@doctorado.unini.edu.mx (2024) Identificación, implementación y evaluación de las competencias genéricas en el currículo de las licenciaturas mixta y no escolarizada en la Universidad del Valle de México. Doctoral thesis, Universidad Internacional Iberoamericana México.
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En esta investigación, se pretende abordar las competencias genéricas que se desarrollan en el estudiante de licenciaturas como parte de su perfil de egreso de todo plan de estudios, desde el paradigma interpretativo, basada en el estudio de los significados de acciones humanas y de la vida social en el fenómeno educativo, buscando su comprensión y significado. Para el diseño de la investigación, se ha seleccionado el modelo de investigación acción, siendo el objetivo fundamental el aportar información que guíe la toma de decisiones y los procesos de cambio institucional en el área curricular de habilidades profesionales para la mejora del perfil de egreso del estudiante. El enfoque de la investigación principalmente será mixto, porque incluye un paradigma cualitativo, con un diseño de investigación-acción; conjuntamente con la investigación cuantitativa, con alcance descriptivo: declarando hipótesis y variables, sistematizando la información a través de métodos estadísticos. El tipo de muestreo será probabilístico y la muestra se seleccionará por unidades muestrales denominadas grupos de clase los cuales contienen a los alumnos en su listado de inscritos por ciclo escolar en la modalidad mixta y no escolarizada en las asignaturas denominadas ilab UVM correspondientes al área curricular de Habilidades Profesionales durante el periodo 2020 y 2021. El objetivo concreto será el de implementar y evaluar competencias genéricas dentro del área curricular de Habilidades Profesionales como parte de la actualización de los planes de estudio de licenciatura 2020 – 2021| en modalidad mixta y no escolarizada de la Universidad del Valle de México. Así mismo, dentro de los resultados esperados, es el de lograr una innovación en las metodologías y actividades de enseñanza y aprendizaje que se implementarán en su diseño instruccional de las asignaturas en línea.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Currículo, habilidades profesionales, competencias genéricas, perfil de egreso de un plan de estudios, modalidad educativa mixta y no escolarizada. |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 28 Sep 2023 23:30 |
| Ultima Modificación: | 08 Jul 2024 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/7778 |
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The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Imanol Eguren García mail imanol.eguren@uneatlantico.es, Álvaro Lasarte García mail , Thomas Prola mail thomas.prola@uneatlantico.es, Raquel Martínez Díaz mail raquel.martinez@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
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The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.
Pedro Ángel de Santos Castro mail , Carlos del Pozo Vegas mail , Leyre Teresa Pinilla Arribas mail , Daniel Zalama Sánchez mail , Ancor Sanz-García mail , Tony Giancarlo Vásquez del Águila mail , Pablo González Izquierdo mail , Sara de Santos Sánchez mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Irma Dominguez Azpíroz mail irma.dominguez@unini.edu.mx, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Francisco Martín-Rodríguez mail ,
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Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.
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