Liderazgo Pedagógico y Gestión Escolar del Directivo: Un análisis al aporte de la Calidad Educativa
Thesis Subjects > Teaching Ibero-american International University > Research > Doctoral Thesis Cerrado Español Las instituciones educativas constituyen el escenario propicio para generar cambios sustanciales en la sociedad. Es allí, donde se forman jóvenes que tendrán en sus manos el futuro de los pueblos. En tal sentido, en cada directivo recae gran responsabilidad como rector garante de estos espacios académicos que debe propiciar la calidad educativa como proceso eficaz de cara a las necesidades del contexto. Desde este punto de vista, esta investigación doctoral tuvo como propósito formular líneas estratégicas gerenciales basadas en el liderazgo pedagógico y la gestión escolar del directivo para mejorar la calidad educativa de las instituciones educativas fiscales de la ciudad de Quito. Este trabajo se suscribe a una investigación de corte mixta con una mirada complementaria de los paradigmas positivista e interpretativo crítico, apoyada en un estudio de campo de carácter descriptivo correlacional, inferencial con el coeficiente de correlación de Pearson, un modelo de regresión lineal múltiple o multivariante, así como un análisis hermenéutico del fenómeno social - educativo en el que se insertan las instituciones educativas. A tal efecto la muestra estuvo constituida por 217 directivos de los Distritos Educativos y por 374 docentes pertenecientes a la Coordinación Zonal de Educación No. 9 dentro de la división administrativa del Ministerio de Educación del Ecuador. Los sujetos se seleccionaron a través de un muestreo por conglomerado. La técnica para la recolección de información es la encuesta a través de un cuestionario autoadministrado contentivo de las dimensiones e indicadores de las variables en estudio. Los resultados del estudio determinaron la correlación significativa positiva entre diferentes dimensiones de las variables, así como la incidencia de las variables independientes gestión escolar y liderazgo pedagógico, sobre la variable dependiente calidad educativa. De allí, que se concluye que las hipótesis formuladas son correctas y, en consecuencia, se aceptan. Finalmente, se describen las implicaciones y limitaciones, no sin antes presentar una propuesta de líneas estratégicas gerenciales para abordar los hallazgos encontrados en la realidad estudiada. metadata Barba Miranda, Laura Cristina mail laubami1@gmail.com (2021) Liderazgo Pedagógico y Gestión Escolar del Directivo: Un análisis al aporte de la Calidad Educativa. Doctoral thesis, UNSPECIFIED.
Full text not available from this repository.Abstract
Las instituciones educativas constituyen el escenario propicio para generar cambios sustanciales en la sociedad. Es allí, donde se forman jóvenes que tendrán en sus manos el futuro de los pueblos. En tal sentido, en cada directivo recae gran responsabilidad como rector garante de estos espacios académicos que debe propiciar la calidad educativa como proceso eficaz de cara a las necesidades del contexto. Desde este punto de vista, esta investigación doctoral tuvo como propósito formular líneas estratégicas gerenciales basadas en el liderazgo pedagógico y la gestión escolar del directivo para mejorar la calidad educativa de las instituciones educativas fiscales de la ciudad de Quito. Este trabajo se suscribe a una investigación de corte mixta con una mirada complementaria de los paradigmas positivista e interpretativo crítico, apoyada en un estudio de campo de carácter descriptivo correlacional, inferencial con el coeficiente de correlación de Pearson, un modelo de regresión lineal múltiple o multivariante, así como un análisis hermenéutico del fenómeno social - educativo en el que se insertan las instituciones educativas. A tal efecto la muestra estuvo constituida por 217 directivos de los Distritos Educativos y por 374 docentes pertenecientes a la Coordinación Zonal de Educación No. 9 dentro de la división administrativa del Ministerio de Educación del Ecuador. Los sujetos se seleccionaron a través de un muestreo por conglomerado. La técnica para la recolección de información es la encuesta a través de un cuestionario autoadministrado contentivo de las dimensiones e indicadores de las variables en estudio. Los resultados del estudio determinaron la correlación significativa positiva entre diferentes dimensiones de las variables, así como la incidencia de las variables independientes gestión escolar y liderazgo pedagógico, sobre la variable dependiente calidad educativa. De allí, que se concluye que las hipótesis formuladas son correctas y, en consecuencia, se aceptan. Finalmente, se describen las implicaciones y limitaciones, no sin antes presentar una propuesta de líneas estratégicas gerenciales para abordar los hallazgos encontrados en la realidad estudiada.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Liderazgo pedagógico, calidad educativa, gestión escolar, instituciones fiscales, sistema educativo |
| Subjects: | Subjects > Teaching |
| Divisions: | Ibero-american International University > Research > Doctoral Thesis |
| Date Deposited: | 21 Sep 2023 23:30 |
| Last Modified: | 21 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/698 |
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Background: Scientific research should be carried out to prevent sports injuries. For this purpose, new assessment technologies must be used to analyze and identify the risk factors for injury. The main objective of this systematic review was to compile, synthesize and integrate international research published in different scientific databases on Countermovement Jump (CMJ), Functional Movement Screen (FMS) and Tensiomyography (TMG) tests and technologies for the assessment of injury risk in sport. This way, this review determines the current state of the knowledge about this topic and allows a better understanding of the existing problems, making easier the development of future lines of research. Methodology: A structured search was carried out following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines and the PICOS model until November 30, 2024, in the MEDLINE/PubMed, Web of Science (WOS), ScienceDirect, Cochrane Library, SciELO, EMBASE, SPORTDiscus and Scopus databases. The risk of bias was assessed and the PEDro scale was used to analyze methodological quality. Results: A total of 510 articles were obtained in the initial search. After inclusion and exclusion criteria, the final sample was 40 articles. These studies maintained a high standard of quality. This revealed the effects of the CMJ, FMS and TMG methods for sports injury assessment, indicating the sample population, sport modality, assessment methods, type of research design, study variables, main findings and intervention effects. Conclusions: The CMJ vertical jump allows us to evaluate the power capacity of the lower extremities, both unilaterally and bilaterally, detect neuromuscular asymmetries and evaluate fatigue. Likewise, FMS could be used to assess an athlete's basic movement patterns, mobility and postural stability. Finally, TMG is a non-invasive method to assess the contractile properties of superficial muscles, monitor the effects of training, detect muscle asymmetries, symmetries, provide information on muscle tone and evaluate fatigue. Therefore, they should be considered as assessment tests and technologies to individualize training programs and identify injury risk factors.
Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Antonio Bores-Cerezal mail antonio.bores@uneatlantico.es, Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Julio Calleja-González mail ,
Velarde-Sotres
<a class="ep_document_link" href="/17139/1/s41598-025-89266-9.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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In the rapidly evolving landscape of artificial intelligence (AI) and the Internet of Things (IoT), the significance of device diagnostics and prognostics is paramount for guaranteeing the dependable operation and upkeep of intricate systems. The capacity to precisely diagnose and preemptively predict potential failures holds the potential to considerably amplify maintenance efficiency, diminish downtime, and optimize resource allocation. The wealth of information offered by telemetry data gathered from IoT devices presents an opportunity for diagnostics and prognostics applications. However, extracting valuable insights and making well-timed decisions from this extensive data reservoir remains a formidable challenge. This study proposes a novel AI-driven framework that integrates forward chaining and backward chaining algorithms to analyze telemetry data from IoT devices. The proposed methodology utilizes rule-based inference to detect real-time anomalies and predict potential future failures, providing a dual-layered approach for diagnostics and prognostics. The results show that the diagnostics engine using forward chaining detects real-time issues like “High Temperature” and “Low Pressure,” while the prognostics engine with backward chaining predicts potential future occurrences of these issues, enabling proactive prevention measures. The experimental results demonstrate that adopting this approach could offer valuable assistance to authorities and stakeholders. Accurate early diagnosis and prediction of potential failures have the capability to greatly improve maintenance efficiency, minimize downtime, and optimize cost.
Muhammad Shoaib Farooq mail , Rizwan Pervez Mir mail , Atif Alvi mail , Kilian Tutusaus mail kilian.tutusaus@uneatlantico.es, Eduardo García Villena mail eduardo.garcia@uneatlantico.es, Fadwa Alrowais mail , Hanen Karamti mail , Imran Ashraf mail ,
Farooq
<a class="ep_document_link" href="/17140/1/s41598-025-90616-w.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization
The process of image formulation uses semantic analysis to extract influential vectors from image components. The proposed approach integrates DenseNet with ResNet-50, VGG-19, and GoogLeNet using an innovative bonding process that establishes algorithmic channeling between these models. The goal targets compact efficient image feature vectors that process data in parallel regardless of input color or grayscale consistency and work across different datasets and semantic categories. Image patching techniques with corner straddling and isolated responses help detect peaks and junctions while addressing anisotropic noise through curvature-based computations and auto-correlation calculations. An integrated channeled algorithm processes the refined features by uniting local-global features with primitive-parameterized features and regioned feature vectors. Using K-nearest neighbor indexing methods analyze and retrieve images from the harmonized signature collection effectively. Extensive experimentation is performed on the state-of-the-art datasets including Caltech-101, Cifar-10, Caltech-256, Cifar-100, Corel-10000, 17-Flowers, COIL-100, FTVL Tropical Fruits, Corel-1000, and Zubud. This contribution finally endorses its standing at the peak of deep and complex image sensing analysis. A state-of-the-art deep image sensing analysis method delivers optimal channeling accuracy together with robust dataset harmonization performance.
Khadija Kanwal mail , Khawaja Tehseen Ahmad mail , Aiza Shabir mail , Li Jing mail , Helena Garay mail helena.garay@uneatlantico.es, Luis Eduardo Prado González mail uis.prado@uneatlantico.es, Hanen Karamti mail , Imran Ashraf mail ,
Kanwal
<a href="/17272/1/s41598-025-88676-z.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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The agriculture field is the basis of a country’s change and financial system. Crops are the main source of revenue for the people. One of the farmer’s most challenging problems is choosing the right crops for their land. This critical decision has a direct impact on productivity and profit. Wrong crop selection not only reduces yields but also causes food shortages, creating more problems for farmers. The best crop depends on many parameters such as illustration humidity, N, K, P, pH, rainfall, and temperature of the soil. Getting advice from experts is not an easy task. This requires intelligent models in crop recommendations that use machine-learning models to suggest suitable crops for soil and other environmental conditions. Temperature, humidity, and pH are important data for growing crops in agriculture. In this study, we gather and preprocess relevant data. To recommend the most suitable crop, we propose a novel ensemble learning approach called RFXG based on random forest (RF) and extreme gradient boosting (XGB) to suggest the best crop out of the twenty-two major crops. To measure the capability of the proposed approach, various machine learning models are utilized including extra tree classifier, multilayer perceptron, RF, decision trees, logistic regression, and XGB classifiers. To get the best performance, optimization of hyperparameter, and K-fold cross-validation procedures are performed. Experimental outcomes show that the proposed RFXG technique achieves a recommendation accuracy is 98%. Specifically, the proposed solution provides immediate recommendations to help farmers make timely decisions.
Hadeeqa Afzal mail , Madiha Amjad mail , Ali Raza mail , Kashif Munir mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Imran Ashraf mail ,
Afzal
<a href="/16734/1/nutrients-17-00577.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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Mediterranean Diet and Quality of Life in Adults: A Systematic Review
Background/Objectives: With the increasing life expectancy and, as a result, the aging of the global population, there has been a rise in the prevalence of chronic conditions, which can significantly impact individuals’ health-related quality of life, a multidimensional concept that comprises an individual’s physical, mental, and social wellbeing. While a balanced, nutrient-dense diet, such as Mediterranean diet, is widely recognized for its role in chronic disease prevention, particularly in reducing the risk of cardiovascular diseases and certain cancers, its potential benefits extend beyond these well-known effects, showing promise in improving physical and mental wellbeing, and promoting health-related quality of life. Methods: A systematic search of the scientific literature in electronic databases (Pubmed/Medline) was performed to identify potentially eligible studies reporting on the relation between adherence to the Mediterranean diet and health-related quality of life, published up to December 2024. Results: A total of 28 studies were included in this systematic review, comprising 13 studies conducted among the general population and 15 studies involving various types of patients. Overall, most studies showed a significant association between adherence to the Mediterranean diet and HRQoL, with the most significant results retrieved for physical domains of quality of life, suggesting that diet seems to play a relevant role in both the general population and people affected by chronic conditions with an inflammatory basis. Conclusions: Adherence to the Mediterranean diet provides significant benefits in preventing and managing various chronic diseases commonly associated with aging populations. Furthermore, it enhances the overall health and quality of life of aging individuals, ultimately supporting more effective and less invasive treatment approaches for chronic diseases.
Justyna Godos mail , Monica Guglielmetti mail , Cinzia Ferraris mail , Evelyn Frias-Toral mail , Irma Dominguez Azpíroz mail irma.dominguez@unini.edu.mx, Vivian Lipari mail vivian.lipari@uneatlantico.es, Andrea Di Mauro mail , Fabrizio Furnari mail , Sabrina Castellano mail , Fabio Galvano mail , Licia Iacoviello mail , Marialaura Bonaccio mail , Giuseppe Grosso mail ,
Godos