Sistema integral de formación del profesorado universitario para la enseñanza de la investigación.
Tesis Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Español En este trabajo se determinan los componentes de una propuesta formación integral para docentes y asesores de investigación de la Universidad Católica de Oriente, sustentados en criterios de contextualización, pertinencia e innovación. Para tal propósito se planteó un diseño con un alcance proyectivo, de enfoque mixto, que fue orientado a partir del método heurístico, el método etnográfico, el método documental y el descriptivo analítico, desde los cuales se aplicaron técnicas de generación de información cualitativas y cuantitativas como: la entrevista, el grupo focal, la revisión documental, la observación participante y la encuesta; a una muestra no probabilística de 16 docentes y una probabilística 265 estudiantes. El estudio logro concluir, que algunos de los docentes y asesores de investigación vienen aplicando un conjunto de estrategias didácticas y evaluativas indiferenciadas e intuitivas para la orientación de los procesos formativos, teniendo presente que estos no muestran un conocimiento claro en relación con las estrategias pedagógicas que implementan. Por otro lado, el estudio da cuenta de la poca o nula formación que tienen los docentes en relación con la enseñanza de la investigación, centrando por lo general el proceso formativo en lo que se ha llamado metodología de la investigación. En el desarrollo de la investigación se pudo analizar las fortalezas y debilidades del proceso formativo desde cuatro perspectivas, la objetiva, la subjetiva, la inter-objetiva y la inter-subjetiva, lo que posibilitó una visión y valoración crítica de los procesos llevados a cabo, teniendo presente una arquitectura conceptual muy potente que fue uno de los aportes fuertes de la investigación. Todo lo anterior permitió lograr la configuración de un Sistema Integral de Formación para la Enseñanza de la Investigación, con tres niveles, un Meta Sistema o Modelo Teórico, un Modelo Heurístico y un Modelo Estratégico Operacional, como propuesta para la Universidad. metadata Franco Montoya, Juan Carlos mail jfrancodm@gmail.com (2018) Sistema integral de formación del profesorado universitario para la enseñanza de la investigación. Doctoral thesis, Universidad Internacional Iberoamericana.
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En este trabajo se determinan los componentes de una propuesta formación integral para docentes y asesores de investigación de la Universidad Católica de Oriente, sustentados en criterios de contextualización, pertinencia e innovación. Para tal propósito se planteó un diseño con un alcance proyectivo, de enfoque mixto, que fue orientado a partir del método heurístico, el método etnográfico, el método documental y el descriptivo analítico, desde los cuales se aplicaron técnicas de generación de información cualitativas y cuantitativas como: la entrevista, el grupo focal, la revisión documental, la observación participante y la encuesta; a una muestra no probabilística de 16 docentes y una probabilística 265 estudiantes. El estudio logro concluir, que algunos de los docentes y asesores de investigación vienen aplicando un conjunto de estrategias didácticas y evaluativas indiferenciadas e intuitivas para la orientación de los procesos formativos, teniendo presente que estos no muestran un conocimiento claro en relación con las estrategias pedagógicas que implementan. Por otro lado, el estudio da cuenta de la poca o nula formación que tienen los docentes en relación con la enseñanza de la investigación, centrando por lo general el proceso formativo en lo que se ha llamado metodología de la investigación. En el desarrollo de la investigación se pudo analizar las fortalezas y debilidades del proceso formativo desde cuatro perspectivas, la objetiva, la subjetiva, la inter-objetiva y la inter-subjetiva, lo que posibilitó una visión y valoración crítica de los procesos llevados a cabo, teniendo presente una arquitectura conceptual muy potente que fue uno de los aportes fuertes de la investigación. Todo lo anterior permitió lograr la configuración de un Sistema Integral de Formación para la Enseñanza de la Investigación, con tres niveles, un Meta Sistema o Modelo Teórico, un Modelo Heurístico y un Modelo Estratégico Operacional, como propuesta para la Universidad.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Sistema integral, Formación en Investigación, Pedagogía, Didáctica, Sistema de Interacción, Universidad |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 26 Nov 2021 23:55 |
| Ultima Modificación: | 20 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/428 |
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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.
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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.
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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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