Diseño de un curso formativo de competencias interculturales para los docentes de la Unidad Educativa “Tulcán” – Ecuador como proyecto de mejoramiento de desempeño profesional.

Thesis Subjects > Teaching Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El desempeño del docente ejerce una influencia en todos los actores del ámbito educativo, especialmente en los estudiantes, por lo que es el principal factor para fomentar la interculturalidad en el aula y fuera de ella. Por tanto, necesitan poseer competencias interculturales que permita fomentar el respeto a la diversidad cultural. No obstante, en la Unidad Educativa Tulcán, se observó que la educación intercultural está ausente. Por ello se desarrolla esta investigación que tiene como objetivo diseñar un curso formativo sobre competencias interculturales para mejorar el desempeño profesional de los docentes de la Unidad Educativa ¨Tulcán” del distrito 04D01 EDUCACIÓN, cantón Tulcán, provincia del Carchi, Ecuador, año 2021-2022. Para alcanzar este objetivo, se utilizó el enfoque mixto de tipo descriptiva y diseño investigación-acción porque se requirió aportar una solución variable a la problemática. La muestra la constituyeron los ciento tres docentes, a quienes se les aplicó el cuestionario, el cual es el instrumento de la encuesta, diseñado en la escala tipo Likert. El análisis de este instrumento evidenció que, los docentes casi nunca aseguran experiencias de aprendizaje para sus estudiantes en un ambiente de interculturalidad. Se concluyó que el desempeño y las competencias interculturales de los docentes de la Unidad Educativa Tulcán, presentan debilidades que inciden negativamente en la práctica de la interculturalidad en el aula. Es por ello que, en los actuales momentos, ese desempeño debe ser eficiente y que esté acorde a la diversidad cultural que se vivencia en la escuela. Por ello, fue necesario diseñar un curso formativo sobre competencias interculturales para mejorar el desempeño profesional de los docentes, el cual se estructuró en cinco módulos: I. Introducción a la Interculturalidad; II. Inmigración y Educación; III. Marco Legislativo; IV. La Interculturalidad en el Aula y, V. Competencias interculturales del profesorado. metadata Erazo Quelal, Hèctor Rigoberto mail dr.hectorerazo@hotmail.com (2022) Diseño de un curso formativo de competencias interculturales para los docentes de la Unidad Educativa “Tulcán” – Ecuador como proyecto de mejoramiento de desempeño profesional. Masters thesis, UNSPECIFIED.

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Abstract

El desempeño del docente ejerce una influencia en todos los actores del ámbito educativo, especialmente en los estudiantes, por lo que es el principal factor para fomentar la interculturalidad en el aula y fuera de ella. Por tanto, necesitan poseer competencias interculturales que permita fomentar el respeto a la diversidad cultural. No obstante, en la Unidad Educativa Tulcán, se observó que la educación intercultural está ausente. Por ello se desarrolla esta investigación que tiene como objetivo diseñar un curso formativo sobre competencias interculturales para mejorar el desempeño profesional de los docentes de la Unidad Educativa ¨Tulcán” del distrito 04D01 EDUCACIÓN, cantón Tulcán, provincia del Carchi, Ecuador, año 2021-2022. Para alcanzar este objetivo, se utilizó el enfoque mixto de tipo descriptiva y diseño investigación-acción porque se requirió aportar una solución variable a la problemática. La muestra la constituyeron los ciento tres docentes, a quienes se les aplicó el cuestionario, el cual es el instrumento de la encuesta, diseñado en la escala tipo Likert. El análisis de este instrumento evidenció que, los docentes casi nunca aseguran experiencias de aprendizaje para sus estudiantes en un ambiente de interculturalidad. Se concluyó que el desempeño y las competencias interculturales de los docentes de la Unidad Educativa Tulcán, presentan debilidades que inciden negativamente en la práctica de la interculturalidad en el aula. Es por ello que, en los actuales momentos, ese desempeño debe ser eficiente y que esté acorde a la diversidad cultural que se vivencia en la escuela. Por ello, fue necesario diseñar un curso formativo sobre competencias interculturales para mejorar el desempeño profesional de los docentes, el cual se estructuró en cinco módulos: I. Introducción a la Interculturalidad; II. Inmigración y Educación; III. Marco Legislativo; IV. La Interculturalidad en el Aula y, V. Competencias interculturales del profesorado.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Desempeño docente, competencias interculturales, interculturalidad, curso formativo, valores.
Subjects: Subjects > Teaching
Divisions: Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Date Deposited: 19 Oct 2023 23:30
Last Modified: 19 Oct 2023 23:30
URI: https://repositorio.unib.org/id/eprint/836

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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="/style/images/fileicons/text.png" border="0"/></a>

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Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria

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.

Producción Científica

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 href="/12750/1/s41598-024-63831-0.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Efficient deep learning-based approach for malaria detection using red blood cell smears

Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. This disease is not only infectious among humans, but among animals as well. Malaria causes mild symptoms like fever, headache, sweating and vomiting, and muscle discomfort; severe symptoms include coma, seizures, and kidney failure. The timely identification of malaria parasites is a challenging and chaotic endeavor for health staff. An expert technician examines the schematic blood smears of infected red blood cells through a microscope. The conventional methods for identifying malaria are not efficient. Machine learning approaches are effective for simple classification challenges but not for complex tasks. Furthermore, machine learning involves rigorous feature engineering to train the model and detect patterns in the features. On the other hand, deep learning works well with complex tasks and automatically extracts low and high-level features from the images to detect disease. In this paper, EfficientNet, a deep learning-based approach for detecting Malaria, is proposed that uses red blood cell images. Experiments are carried out and performance comparison is made with pre-trained deep learning models. In addition, k-fold cross-validation is also used to substantiate the results of the proposed approach. Experiments show that the proposed approach is 97.57% accurate in detecting Malaria from red blood cell images and can be beneficial practically for medical healthcare staff.

Producción Científica

Muhammad Mujahid mail , Furqan Rustam mail , Rahman Shafique mail , Elizabeth Caro Montero mail elizabeth.caro@uneatlantico.es, Eduardo René Silva Alvarado mail eduardo.silva@funiber.org, Isabel de la Torre Diez mail , Imran Ashraf mail ,

Mujahid

<a class="ep_document_link" href="/12751/1/s12874-024-02249-8.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms

In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponential growth and exerts a substantial influence on premature mortality. Although numerous research applied machine learning methods to forecast signs of depression. Nevertheless, only a limited number of research have taken into account the severity level as a multiclass variable. Besides, maintaining the equality of data distribution among all the classes rarely happens in practical communities. So, the inevitable class imbalance for multiple variables is considered a substantial challenge in this domain. Furthermore, this research emphasizes the significance of addressing class imbalance issues in the context of multiple classes. We introduced a new approach Feature group partitioning (FGP) in the data preprocessing phase which effectively reduces the dimensionality of features to a minimum. This study utilized synthetic oversampling techniques, specifically Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic (ADASYN), for class balancing. The dataset used in this research was collected from university students by administering the Burn Depression Checklist (BDC). For methodological modifications, we implemented heterogeneous ensemble learning stacking, homogeneous ensemble bagging, and five distinct supervised machine learning algorithms. The issue of overfitting was mitigated by evaluating the accuracy of the training, validation, and testing datasets. To justify the effectiveness of the prediction models, balanced accuracy, sensitivity, specificity, precision, and f1-score indices are used. Overall, comprehensive analysis demonstrates the discrimination between the Conventional Depression Screening (CDS) and FGP approach. In summary, the results show that the stacking classifier for FGP with SMOTE approach yields the highest balanced accuracy, with a rate of 92.81%. The empirical evidence has demonstrated that the FGP approach, when combined with the SMOTE, able to produce better performance in predicting the severity of depression. Most importantly the optimization of the training time of the FGP approach for all of the classifiers is a significant achievement of this research.

Producción Científica

Tumpa Rani Shaha mail , Momotaz Begum mail , Jia Uddin mail , Vanessa Yélamos Torres mail vanessa.yelamos@funiber.org, Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Imran Ashraf mail , Md. Abdus Samad mail ,

Shaha

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A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study

Aim: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. Methods: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. Results: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919–0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832–0.871) and 365-day (AUC = 0.806; 95% CI: 0.778–0.833) mortality. Discussion: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses.

Producción Científica

Rodrigo Enriquez de Salamanca Gambara mail , Ancor Sanz-García mail , Carlos del Pozo Vegas mail , Raúl López-Izquierdo mail , Irene Sánchez Soberón mail , Juan F. Delgado Benito mail , Raquel Martínez Díaz mail raquel.martinez@uneatlantico.es, Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Nohora Milena Martínez López mail nohora.martinez@uneatlantico.es, Irma Dominguez Azpíroz mail irma.dominguez@unini.edu.mx, Francisco Martín-Rodríguez mail ,

Enriquez de Salamanca Gambara

<a href="/11941/1/healthcare-12-00942.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Risk Factors for Eating Disorders in University Students: The RUNEAT Study

The purpose of the study is to assess the risk of developing general eating disorders (ED), anorexia nervosa (AN), and bulimia nervosa (BN), as well as to examine the effects of gender, academic year, place of residence, faculty, and diet quality on that risk. Over two academic years, 129 first- and fourth-year Uneatlántico students were included in an observational descriptive study. The self-administered tests SCOFF, EAT-26, and BITE were used to determine the participants’ risk of developing ED. The degree of adherence to the Mediterranean diet (MD) was used to evaluate the quality of the diet. Data were collected at the beginning (T1) and at the end (T2) of the academic year. The main results were that at T1, 34.9% of participants were at risk of developing general ED, AN 3.9%, and BN 16.3%. At T2, these percentages were 37.2%, 14.7%, and 8.5%, respectively. At T2, the frequency of general ED in the female group was 2.5 times higher (OR: 2.55, 95% CI: 1.22–5.32, p = 0.012). The low-moderate adherence to the MD students’ group was 0.92 times less frequent than general ED at T2 (OR: 0.921, 95%CI: 0.385–2.20, p < 0.001). The most significant risk factor for developing ED is being a female in the first year of university. Moreover, it appears that the likelihood of developing ED generally increases during the academic year.

Producción Científica

Imanol Eguren García mail imanol.eguren@uneatlantico.es, Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Sandra Conde González mail , Anna Vila-Martí mail , Mercedes Briones Urbano mail mercedes.briones@uneatlantico.es, Raquel Martínez Díaz mail raquel.martinez@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,

Eguren García