Rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja.
Tesis
Materias > Educación
Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
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En este trabajo de fin de máster se estudia el Rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja, en donde se ha formulado como objetivo general el analizar el rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja. Los enfoques teóricos relevantes utilizados son la gestión de centros educativos, el modelo de gestión por competencias y el diseño y evaluación de estrategias educativas. La metodología utilizada que se aplicó en este trabajo, fue de tipo investigativo, cualitativa y descriptiva, ya que se estudia el tema de forma global partiendo de lo general hasta lo particular. En el proceso de investigación, se procede hacer un análisis referente al efecto social y educativo que surgen del estudio en mención. Se analiza y estudia varias fuentes bibliográficas e investigativas, para poder tener un amplio contexto del tema referente, así poder emitir mediante análisis, criterios fundados y técnicos, llegando a tener las conclusiones y resultados esperados, así también los resultados de la investigación bibliográfica que son fuente principal para el desarrollo del trabajo final, que además permitirá validar nuestros objetivos establecidos. Los procesos, análisis y síntesis, llevaron al tesista a realizar el trabajo de investigación complementando con técnicas, y pruebas teóricas, material bibliográfico y documental, fuentes de información primarias y secundarias que permitieron obtener una verdad objetiva sobre la problemática fundamentada. Como conclusiones principales podemos decir que los contenidos y el enfoque del trabajo investigativo permitieron que se conozca el esquema de educación y aprendizaje integral empleado en el Centro Educativo Fiscomisional San Vicente Ferrer del Cantón Catamayo, de tal manera que se pudo evaluar la gestión y ver los resultados del proceso educativo actual, mediante la información obtenida del presente estudio, se corroboró que la Institución Educativa de análisis necesita implementar estrategias para mejorar su metodología de enseñanza a través de prácticas de liderazgo que permitan planificar, comunicar, dirigir, motivar e instruir en la transformación del Centro Educativo. Se aplicaron los conocimientos adquiridos enfocándonos en la importancia de conocer los procesos y roles de liderazgo que tienen los centros educativos para la transformación y desarrollo del sistema de aprendizaje, tomando en consideración que el liderazgo que se emplee en promover los modelos pedagógicos es esencial para docentes y estudiantes.
metadata
Yauri Lojan, Carlos Samuel
mail
charlysamyl@gmail.com
(2022)
Rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja.
Masters thesis, SIN ESPECIFICAR.
Resumen
En este trabajo de fin de máster se estudia el Rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja, en donde se ha formulado como objetivo general el analizar el rol de la gestión de centros educativos y el modelo de aprendizaje basado en competencias de la Institución educativa Fiscomisional San Vicente Ferrer del Cantón Catamayo, provincia de Loja. Los enfoques teóricos relevantes utilizados son la gestión de centros educativos, el modelo de gestión por competencias y el diseño y evaluación de estrategias educativas. La metodología utilizada que se aplicó en este trabajo, fue de tipo investigativo, cualitativa y descriptiva, ya que se estudia el tema de forma global partiendo de lo general hasta lo particular. En el proceso de investigación, se procede hacer un análisis referente al efecto social y educativo que surgen del estudio en mención. Se analiza y estudia varias fuentes bibliográficas e investigativas, para poder tener un amplio contexto del tema referente, así poder emitir mediante análisis, criterios fundados y técnicos, llegando a tener las conclusiones y resultados esperados, así también los resultados de la investigación bibliográfica que son fuente principal para el desarrollo del trabajo final, que además permitirá validar nuestros objetivos establecidos. Los procesos, análisis y síntesis, llevaron al tesista a realizar el trabajo de investigación complementando con técnicas, y pruebas teóricas, material bibliográfico y documental, fuentes de información primarias y secundarias que permitieron obtener una verdad objetiva sobre la problemática fundamentada. Como conclusiones principales podemos decir que los contenidos y el enfoque del trabajo investigativo permitieron que se conozca el esquema de educación y aprendizaje integral empleado en el Centro Educativo Fiscomisional San Vicente Ferrer del Cantón Catamayo, de tal manera que se pudo evaluar la gestión y ver los resultados del proceso educativo actual, mediante la información obtenida del presente estudio, se corroboró que la Institución Educativa de análisis necesita implementar estrategias para mejorar su metodología de enseñanza a través de prácticas de liderazgo que permitan planificar, comunicar, dirigir, motivar e instruir en la transformación del Centro Educativo. Se aplicaron los conocimientos adquiridos enfocándonos en la importancia de conocer los procesos y roles de liderazgo que tienen los centros educativos para la transformación y desarrollo del sistema de aprendizaje, tomando en consideración que el liderazgo que se emplee en promover los modelos pedagógicos es esencial para docentes y estudiantes.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Gestión, centros educativos, aprendizaje, competencias, educación. |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster |
| Depositado: | 30 Nov 2023 23:30 |
| Ultima Modificación: | 30 Nov 2023 23:30 |
| URI: | https://repositorio.unib.org/id/eprint/2412 |
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images
Wheat is one of the world’s most widely cultivated cereal crops and is a primary food source for a significant portion of the population. Wheat goes through several distinct developmental phases, and accurately identifying these stages is essential for precision farming. Determining wheat growth stages accurately is crucial for increasing the efficiency of agricultural yield in wheat farming. Preliminary research identified obstacles in distinguishing between these stages, negatively impacting crop yields. To address this, this study introduces an innovative approach, MobDenNet, based on data collection and real-time wheat crop stage recognition. The data collection utilized a diverse image dataset covering seven growth phases ‘Crown Root’, ‘Tillering’, ‘Mid Vegetative’, ‘Booting’, ‘Heading’, ‘Anthesis’, and ‘Milking’, comprising 4496 images. The collected image dataset underwent rigorous preprocessing and advanced data augmentation to refine and minimize biases. This study employed deep and transfer learning models, including MobileNetV2, DenseNet-121, NASNet-Large, InceptionV3, and a convolutional neural network (CNN) for performance comparison. Experimental evaluations demonstrated that the transfer model MobileNetV2 achieved 95% accuracy, DenseNet-121 achieved 94% accuracy, NASNet-Large achieved 76% accuracy, InceptionV3 achieved 74% accuracy, and the CNN achieved 68% accuracy. The proposed novel hybrid approach, MobDenNet, that synergistically merges the architectures of MobileNetV2 and DenseNet-121 neural networks, yields highly accurate results with precision, recall, and an F1 score of 99%. We validated the robustness of the proposed approach using the k-fold cross-validation. The proposed research ensures the detection of growth stages with great promise for boosting agricultural productivity and management practices, empowering farmers to optimize resource distribution and make informed decisions.
Aisha Naseer mail , Madiha Amjad mail , Ali Raza mail , Kashif Munir mail , Aseel Smerat mail , Henry Fabian Gongora mail henry.gongora@uneatlantico.es, Carlos Eduardo Uc Ríos mail carlos.uc@unini.edu.mx, Imran Ashraf mail ,
Naseer
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Client engagement solution for post implementation issues in software industry using blockchain
In the rapidly advanced and evolving information technology industry, adequate client engagement plays a critical role as it is very important to understand the client’s concerns, and requirements, have the records, authorizations, and go-ahead of previously agreed requirements, and provide the feasible solution accordingly. Previously multiple solutions have been proposed to enhance the efficiency of client engagement, but they lack traceability, trust, transparency, and conflict in agreements of previous contracts. Due to the lack of these shortcomings, the client requirement is getting delayed which is causing client escalations, integrity issues, project failure, and penalties. In this study, we proposed the UniferCollab framework to overcome the issues of collaboration between various teams, transparency, the record of client authorizations, and the go-ahead on previous developments by implementing blockchain technology. We store the data on the permissible network in the proposed approach. It allows us to compile all the requirements and information shared by clients on permissible blockchain to secure a large amount of data which enhances the traceability of all the requirements. All the authorizations from the client generate push notifications for any changes in their current system executed through smart contracts. It removes the ambiguity between various development teams if the client has only shared the requirement with one team. The data is stored in the decentralized network from where information is gathered which resolves the traceability, transparency, and trust issues. Lastly, evaluations involved a total of 800 hypertext transfer protocol (HTTP) requests tested using Postman with blockchain block sizes ranging from 0.568 KB to 550 KB and an average size increase of 280 KB was observed as new blocks were added. The longest chain in the network was observed during 800 repetitions of blockchain operations. Latency analysis revealed that delays in processing HTTP requests were influenced by decentralized node processing, local machine response times, and internet bandwidth through various experiments. Results show that the proposed framework resolves all client engagement issues in implementation between all stakeholders which enhances trust, and transparency improves client experience and helps us manage disputes effectively.
Muhammad Shoaib Farooq mail , Khurram Irshad mail , Danish Riaz mail , Nagwan Abdel Samee mail , Ernesto Bautista Thompson mail ernesto.bautista@unini.edu.mx, Daniel Gavilanes Aray mail daniel.gavilanes@uneatlantico.es, Imran Ashraf mail ,
Farooq
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This Special Issue of Diet and Nutrition: Metabolic Diseases showcases cutting-edge research exploring the intersection between nutrition, dietary patterns, and public health. The contributions in this collection involve both fundamental and applied research, offering new insights into how nutrition can combat the growing global burden of non-communicable diseases [1]. The studies in this issue emphasize the critical role that diet plays in promoting metabolic health, preventing chronic diseases, and improving overall quality of life. In recent years, nutrition has become a central focus in global health efforts, with a growing body of evidence demonstrating its impact on both individual and population-level outcomes [2,3]. This Special Issue encompasses several key themes, including the role of dietary interventions in managing metabolic disorders, the importance of nutrient timing and quality, and the broader implications of sustainable dietary practices.
Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
Elío Pascual
<a class="ep_document_link" href="/17061/1/fspor-1-1565900.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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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
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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