Autorregulación de los aprendizajes para la mejora de logros educativos en estudiantes adultos
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Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
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El presente trabajo es un estudio de investigación-acción de diseño cualitativo sobre la autorregulación de los aprendizajes en un grupo de estudiantes adultos. Su objetivo general es elaborar una estrategia metodológica para la autorregulación de los aprendizajes que contribuya a la mejora de los logros educativos en un grupo de estudiantes adultos del Programa de Culminación de Estudios Secundarios, ProCES, en el año 2021. Esta se elabora en base al modelo de autorregulación de Zimmerman y se complementa con método de Enseñanza Basada en Estrategias, en inglés Strategy-Based Instruction (SBI). Se parte de la revisión de bibliografía sobre educación inclusiva, la enseñanza de los adultos y la autorregulación de sus aprendizajes - antecedentes en la temática y otros modelos de autorregulación construidos con anterioridad - y sobre logros educativos. También se produce información en base a estas referencias teóricas, estrategias y prácticas, así como al conocimiento sobre los estudiantes de este grupo, a partir de entrevistas a docentes del programa, el equipo de coordinación y un grupo focal con los estudiantes adultos. Como principales resultados, se considera de manera conclusiva que la autorregulación constituye un proceso cardinal en la experiencia educativa de los adultos para la mejora de los logros educativos. Ésta, involucra procesos motivacionales propios, la autovaloración y automotivación para orientar (y orientarse) en una experiencia que instala desafíos que escapan o difieren a lo pautado en planes previstos para una población adolescente. Los estudiantes que autorregulan sus aprendizajes suelen actuar de forma proactiva. Trazan sus metas y ellos mismos se transforman en el motor que los impulsa a alcanzarlas. No obstante, es importante considerar que al factor contextual y a las características individuales se incorpora de manera fundamental y determinante la intervención orientadora de los docentes. Efectivamente, la autorregulación es un proceso que requiere la participación y la intervención docente. Se crean las condiciones para que el estudiante planifique y defina sus metas, actúe a través del auto-control y la auto-observación, y reflexione sobre sus aprendizajes mediante una constante auto-evaluación. Por tanto, es vital que los espacios de reflexión crítica de los educadores respecto de los procesos cognitivos y metacognitivos permanezcan activados, tanto por los aspectos teóricos como por los prácticos de implementación educativa. En particular, estas instancias permiten sostener al colectivo intercambiando puntos de vista y enfoques para desarrollar estrategias de enseñanza adecuadas, en una misión colaborativa focalizada en la centralidad de los estudiantes.
metadata
Trucco Giraz, Paola Carolina
mail
pao.trucco@hotmail.com
(2022)
Autorregulación de los aprendizajes para la mejora de logros educativos en estudiantes adultos.
Masters thesis, UNSPECIFIED.
Abstract
El presente trabajo es un estudio de investigación-acción de diseño cualitativo sobre la autorregulación de los aprendizajes en un grupo de estudiantes adultos. Su objetivo general es elaborar una estrategia metodológica para la autorregulación de los aprendizajes que contribuya a la mejora de los logros educativos en un grupo de estudiantes adultos del Programa de Culminación de Estudios Secundarios, ProCES, en el año 2021. Esta se elabora en base al modelo de autorregulación de Zimmerman y se complementa con método de Enseñanza Basada en Estrategias, en inglés Strategy-Based Instruction (SBI). Se parte de la revisión de bibliografía sobre educación inclusiva, la enseñanza de los adultos y la autorregulación de sus aprendizajes - antecedentes en la temática y otros modelos de autorregulación construidos con anterioridad - y sobre logros educativos. También se produce información en base a estas referencias teóricas, estrategias y prácticas, así como al conocimiento sobre los estudiantes de este grupo, a partir de entrevistas a docentes del programa, el equipo de coordinación y un grupo focal con los estudiantes adultos. Como principales resultados, se considera de manera conclusiva que la autorregulación constituye un proceso cardinal en la experiencia educativa de los adultos para la mejora de los logros educativos. Ésta, involucra procesos motivacionales propios, la autovaloración y automotivación para orientar (y orientarse) en una experiencia que instala desafíos que escapan o difieren a lo pautado en planes previstos para una población adolescente. Los estudiantes que autorregulan sus aprendizajes suelen actuar de forma proactiva. Trazan sus metas y ellos mismos se transforman en el motor que los impulsa a alcanzarlas. No obstante, es importante considerar que al factor contextual y a las características individuales se incorpora de manera fundamental y determinante la intervención orientadora de los docentes. Efectivamente, la autorregulación es un proceso que requiere la participación y la intervención docente. Se crean las condiciones para que el estudiante planifique y defina sus metas, actúe a través del auto-control y la auto-observación, y reflexione sobre sus aprendizajes mediante una constante auto-evaluación. Por tanto, es vital que los espacios de reflexión crítica de los educadores respecto de los procesos cognitivos y metacognitivos permanezcan activados, tanto por los aspectos teóricos como por los prácticos de implementación educativa. En particular, estas instancias permiten sostener al colectivo intercambiando puntos de vista y enfoques para desarrollar estrategias de enseñanza adecuadas, en una misión colaborativa focalizada en la centralidad de los estudiantes.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | autorregulación de los aprendizajes, estrategia metodológica,estudiantes adultos, logros educativos |
| Subjects: | Subjects > Teaching |
| Divisions: | Europe University of Atlantic > Teaching > Final Master Projects Ibero-american International University > Teaching > Final Master Projects |
| Date Deposited: | 10 May 2024 23:30 |
| Last Modified: | 10 May 2024 23:30 |
| URI: | https://repositorio.unib.org/id/eprint/3202 |
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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
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Nut Consumption Is Associated with Cognitive Status in Southern Italian Adults
Background: Nut consumption has been considered a potential protective factor against cognitive decline. The aim of this study was to test whether higher total and specific nut intake was associated with better cognitive status in a sample of older Italian adults. Methods: A cross-sectional analysis on 883 older adults (>50 y) was conducted. A 110-item food frequency questionnaire was used to collect information on the consumption of various types of nuts. The Short Portable Mental Status Questionnaire was used to assess cognitive status. Multivariate logistic regression analyses were performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between nut intake and cognitive status after adjusting for potential confounding factors. Results: The median intake of total nuts was 11.7 g/day and served as a cut-off to categorize low and high consumers (mean intake 4.3 g/day vs. 39.7 g/day, respectively). Higher total nut intake was significantly associated with a lower prevalence of impaired cognitive status among older individuals (OR = 0.35, CI 95%: 0.15, 0.84) after adjusting for potential confounding factors. Notably, this association remained significant after additional adjustment for adherence to the Mediterranean dietary pattern as an indicator of diet quality, (OR = 0.32, CI 95%: 0.13, 0.77). No significant associations were found between cognitive status and specific types of nuts. Conclusions: Habitual nut intake is associated with better cognitive status in older adults.
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Godos
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Novel transfer learning approach for hand drawn mathematical geometric shapes classification
Hand-drawn mathematical geometric shapes are geometric figures, such as circles, triangles, squares, and polygons, sketched manually using pen and paper or digital tools. These shapes are fundamental in mathematics education and geometric problem-solving, serving as intuitive visual aids for understanding complex concepts and theories. Recognizing hand-drawn shapes accurately enables more efficient digitization of handwritten notes, enhances educational tools, and improves user interaction with mathematical software. This research proposes an innovative machine learning algorithm for the automatic classification of mathematical geometric shapes to identify and interpret these shapes from handwritten input, facilitating seamless integration with digital systems. We utilized a benchmark dataset of mathematical shapes based on a total of 20,000 images with eight classes circle, kite, parallelogram, square, rectangle, rhombus, trapezoid, and triangle. We introduced a novel machine-learning algorithm CnN-RFc that uses convolution neural networks (CNN) for spatial feature extraction and the random forest classifier for probabilistic feature extraction from image data. Experimental results illustrate that using the CnN-RFc method, the Light Gradient Boosting Machine (LGBM) algorithm surpasses state-of-the-art approaches with high accuracy scores of 98% for hand-drawn shape classification. Applications of the proposed mathematical geometric shape classification algorithm span various domains, including education, where it enhances interactive learning platforms and provides instant feedback to students.
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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 ,
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