Programa de capacitación docente en inclusión educativa con estrategias basadas en el Diseño Universal para el Aprendizaje (DUA) en la Institución Educativa San Vicente de Paul del municipio de Génova en el departamento del Quindío, Colombia, año 2021.
Tesis
Materias > Educación
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster
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En este trabajo de fin de máster se presentan los resultados de un proyecto de investigación en el que se ha intentado proponer ideas y ejemplos para diseñar un programa de capacitación docente en inclusión educativa con estrategias basadas en el Diseño Universal Para el Aprendizaje (DUA) en la Institución Educativa San Vicente de Paul del municipio de Génova en el departamento del Quindío, Colombia. Se parte de la necesidad de generar en los docentes estrategias basadas en el DUA para la inclusión de estudiantes con Necesidades educativas especiales en el aula regular. Se tuvieron en cuenta los aportes teóricos de estudios sobre Prácticas Pedagógicas Inclusivas desde el Diseño Universal de Aprendizaje y Plan Individual de Ajustes Razonables. La presente investigación se desarrolló dentro de un enfoque metodológico cualitativo y se hizo uso de un diseño metodológico de tipo investigación-acción-participación (IAP). Para este estudio se seleccionaron 13 docentes de la institución educativa San Vicente de Paul en Génova Quindío. La recogida de datos se realizó por medio de técnicas cuantitativas haciendo uso de un cuestionario adaptado de un estudio anterior. Este cuestionario fue aplicado a los 13 docentes participantes de los cuales solo 5 respondieron el cuestionario en su totalidad. Los resultados más relevantes de este estudio son que se deben generar propuestas de capacitación docente dentro de los horarios lectivos de los docentes para que estos estén más dispuestos a aplicar lo aprendido en sus aulas de clase y que se deben generar propuestas de formación docente que se basen en los 3 principios del DUA.
metadata
Mendez Salazar, Juan Camilo
mail
camiloxgd@gmail.com
(2022)
Programa de capacitación docente en inclusión educativa con estrategias basadas en el Diseño Universal para el Aprendizaje (DUA) en la Institución Educativa San Vicente de Paul del municipio de Génova en el departamento del Quindío, Colombia, año 2021.
Masters thesis, SIN ESPECIFICAR.
Resumen
En este trabajo de fin de máster se presentan los resultados de un proyecto de investigación en el que se ha intentado proponer ideas y ejemplos para diseñar un programa de capacitación docente en inclusión educativa con estrategias basadas en el Diseño Universal Para el Aprendizaje (DUA) en la Institución Educativa San Vicente de Paul del municipio de Génova en el departamento del Quindío, Colombia. Se parte de la necesidad de generar en los docentes estrategias basadas en el DUA para la inclusión de estudiantes con Necesidades educativas especiales en el aula regular. Se tuvieron en cuenta los aportes teóricos de estudios sobre Prácticas Pedagógicas Inclusivas desde el Diseño Universal de Aprendizaje y Plan Individual de Ajustes Razonables. La presente investigación se desarrolló dentro de un enfoque metodológico cualitativo y se hizo uso de un diseño metodológico de tipo investigación-acción-participación (IAP). Para este estudio se seleccionaron 13 docentes de la institución educativa San Vicente de Paul en Génova Quindío. La recogida de datos se realizó por medio de técnicas cuantitativas haciendo uso de un cuestionario adaptado de un estudio anterior. Este cuestionario fue aplicado a los 13 docentes participantes de los cuales solo 5 respondieron el cuestionario en su totalidad. Los resultados más relevantes de este estudio son que se deben generar propuestas de capacitación docente dentro de los horarios lectivos de los docentes para que estos estén más dispuestos a aplicar lo aprendido en sus aulas de clase y que se deben generar propuestas de formación docente que se basen en los 3 principios del DUA.
Tipo de Documento: | Tesis (Masters) |
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Palabras Clave: | Programa de capacitación docente, Inclusión educativa, Diseño Universal para el Aprendizaje (DUA), Necesidades educativas especiales (NEE) |
Clasificación temática: | Materias > Educación |
Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster |
Depositado: | 17 Nov 2023 23:30 |
Ultima Modificación: | 17 Nov 2023 23:30 |
URI: | https://repositorio.uneatlantico.es/id/eprint/2138 |
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<a class="ep_document_link" href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf"><img class="ep_doc_icon" alt="[img]" src="/10290/1.hassmallThumbnailVersion/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" border="0"/></a>
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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.
Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,
Alemany Iturriaga
<a class="ep_document_link" href="/15625/1/s41598-024-74127-8.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species. Modern resources were used in this study, including the UniProt protein database for crop physiochemical properties associated with specific signaling domains and the SMART database for signaling protein domains. These insights were then applied to deep learning and machine learning techniques after careful data processing. The rigorous metric evaluations and ablation analysis that typified the study’s approach highlighted the algorithms’ effectiveness and dependability in recognizing and classifying stress events. Notably, the accuracy of SVM was 82%, while gradient boosting and RNN showed 96%, and 94%, respectively and LSTM obtained an astounding 97% accuracy. The study observed these successes but also highlights the ongoing obstacles to AI adoption in agriculture, emphasizing the need for creative thinking and interdisciplinary cooperation. In addition to its scholarly value, the collected data has significant implications for improving resource efficiency, directing precision agricultural methods, and supporting global food security programs. Notably, the gradient boosting and LSTM algorithm outperformed the others with an exceptional accuracy of 96% and 97%, demonstrating their potential for accurate stress categorization. This work highlights the revolutionary potential of AI to completely disrupt the agricultural industry while simultaneously advancing our understanding of plant stress responses.
Tariq Ali mail , Saif Ur Rehman mail , Shamshair Ali mail , Khalid Mahmood mail , Silvia Aparicio Obregón mail silvia.aparicio@uneatlantico.es, Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Tahir Khurshaid mail , Imran Ashraf mail ,
Ali
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Technological firms invest in R&D looking for innovative solutions but assuming high costs and great (technological) uncertainty regarding final results and returns. Additionally, they face other problems related to R&D management. This empirical study tries to determine which of the factors favour or constrain the decision of these firms to engage in R&D. The analysis uses financial data of 14,619 ICT listed companies of 22 countries from 2003 to 2018. Additionally, macroeconomic data specific for the countries and the sector were used. For the analysis of dynamic panel data, a System-GMM method is used. Among the findings, we highlight that cash flow, contrary to the known theoretical models and empirical evidences, negatively impacts on R&D investment. Debt is neither the right source for R&D funding, as the effect is also negative. This suggests that ICT companies are forced to manage their R&D activities differently, relying more on other funding sources, taking advantage of growth opportunities and benefiting from a favourable macroeconomic environment in terms of growth and increased business sector spending on R&D. These results are similar in both sub-sectors and in all countries, both bank- and market based. The exception is firms with few growth opportunities and little debt.
Inna Alexeeva-Alexeev mail inna.alexeeva@uneatlantico.es, Cristina Mazas Pérez-Oleag mail cristina.mazas@uneatlantico.es,
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<a class="ep_document_link" href="/15198/1/nutrients-16-03859.pdf"><img class="ep_doc_icon" alt="[img]" src="/15198/1.hassmallThumbnailVersion/nutrients-16-03859.pdf" border="0"/></a>
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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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Uterine leiomyomas are the most common benign, monoclonal, gynaecological tumors in a woman’s uterus, while leiomyosarcoma is a rare but aggressive condition caused by the malignant transformation of the myometrium. To overcome the common obstacles related to the methods usually used to study these pathologies, we aimed to devise three-dimensional models of myometrium, uterine leiomyoma and leiomyosarcoma cell lines, using two different types of biocompatible scaffolds. Specifically, we exploited the agarose gel matrix in common 6-well plates and the alginate matrix using Bioprinting INKREDIBLE + (CELLINK), a pneumatic extruded base equipped with a system with double printheads, and a UV printer LED curing system. Both methods allowed the development of 3D spheroids of all three cell types, that were also suitable for morphological investigations. We showed that all cell types embedded in both agarose and alginate formed spheroids in their growth medium. The spheroids successfully proliferated and self-organized into complex structures, developing a sustainable system that emulated the condition of the tissues through the accumulation of extracellular matrix. These models could be useful for a better understanding of pathophysiology, etiopathogenesis, and testing new methods or molecules from a preventive and therapeutic point of view.
Pamela Pellegrino mail , Stefania Greco mail , Abel Duménigo Gonzàlez mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Stefano Raffaele Giannubilo mail , Giovanni Delli Carpini mail , Franco Capocasa mail , Bruno Mezzetti mail , Maurizio Battino mail maurizio.battino@uneatlantico.es, Andrea Ciavattini mail , Pasquapina Ciarmela mail ,
Pellegrino