Aprendizagem Colaborativa

Tesis Materias > Educación Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster Cerrado Portugués O presente trabalho, visa apresentar uma pesquisa de Aprendizagem Colaborativa: Metodologia Formação de Professores análise na prática pedagósgica, na Escola Municipal de Ensino Fundamental Sete de Setembro, a relevância da interação social, relacionada diretamente ao processo de ensino aprendizagem, considerando como proposta de trabalho, para o desenvolvimento cognitivo a metodologia de aprendizagemcolaborativa. Para a concretização de teorias foram utilizados leitura de textos de revista, para uma pesquisa qualitativa. Parte da interação e concepção pedagógica de prática e os conceitos relacionados no texto formação Continuada de Professores. No texto a proposta foi interagir comas teorias utilizadas na prática pedagógica com metodologia ativa na colaboração como o meio para construção concreta entre os pares, como professores - aluno, a interpretação e aprendizagem, conceitos utilizados na abordagem da metodologia ativa. Como parte da análise, os dados foram definidos em categorias que estabelecem um desenvolvimento, direciona a relação existente entre aprendizagem colaborativa e a necessidade de material didático para suporte do professor. A interação social se apresenta em sala de aula como: ferramentas de auxílio para uma concretização no processo de ensino as TIC, com recurso das tecnologias internet. Os principais resultados da pesquisa revelam que consideram os pares como os protagonistas para a promoção de seu desenvolvimento cognitivo e prévio, projetando o processo de ensino colaborativo para ir além de simples interação social, como uma ajuda colaborativa entre os sujeitos envolvidos na construção de uma aprendizagem efetiva. Isso significa que a figura do professor é fundamental para que a interação entres as pessoas possa ser estabelecida com um fator de desenvolvimento cognitivo. É importante que o professor apresente comportamentos múltiplos visando o crescimento e a promoção intelectual do aluno, sempre baseando na autonomia, iniciativa e ações concretas para o aluno aguçar com seu protagonismo. A articulação entre os pares, é outro fator que apresenta como forma de afirmação e desenvolvimento individual, assim como do grupo em si. É por se sentir avaliado e possuidor de voz relevante ao processo de ensino aprendizagem que aluno constrói seu desenvolvimento significativo.Com a utilização aula-online na rede pública, para que obtenham boas condições no uso de tecnologia internet, para contribuir melhor a respeito do entendimento de professor e alunos, com o uso da tecnologia no cotidiano escolar, devido ao período pandêmico da Covid-19. Dessa forma, estabelece uma ação autônima, colaborativa e significativa no processo de ensino aprendizagem em parceira com a família e escola, usando uma nova tecnologia, aula (ensino remoto) por meio do aparelho Celular via WhatsApp. metadata Costa Dias, Edjan mail edjan_costa@hotmail.com (2022) Aprendizagem Colaborativa. Masters thesis, SIN ESPECIFICAR.

Texto completo no disponible.

Resumen

O presente trabalho, visa apresentar uma pesquisa de Aprendizagem Colaborativa: Metodologia Formação de Professores análise na prática pedagósgica, na Escola Municipal de Ensino Fundamental Sete de Setembro, a relevância da interação social, relacionada diretamente ao processo de ensino aprendizagem, considerando como proposta de trabalho, para o desenvolvimento cognitivo a metodologia de aprendizagemcolaborativa. Para a concretização de teorias foram utilizados leitura de textos de revista, para uma pesquisa qualitativa. Parte da interação e concepção pedagógica de prática e os conceitos relacionados no texto formação Continuada de Professores. No texto a proposta foi interagir comas teorias utilizadas na prática pedagógica com metodologia ativa na colaboração como o meio para construção concreta entre os pares, como professores - aluno, a interpretação e aprendizagem, conceitos utilizados na abordagem da metodologia ativa. Como parte da análise, os dados foram definidos em categorias que estabelecem um desenvolvimento, direciona a relação existente entre aprendizagem colaborativa e a necessidade de material didático para suporte do professor. A interação social se apresenta em sala de aula como: ferramentas de auxílio para uma concretização no processo de ensino as TIC, com recurso das tecnologias internet. Os principais resultados da pesquisa revelam que consideram os pares como os protagonistas para a promoção de seu desenvolvimento cognitivo e prévio, projetando o processo de ensino colaborativo para ir além de simples interação social, como uma ajuda colaborativa entre os sujeitos envolvidos na construção de uma aprendizagem efetiva. Isso significa que a figura do professor é fundamental para que a interação entres as pessoas possa ser estabelecida com um fator de desenvolvimento cognitivo. É importante que o professor apresente comportamentos múltiplos visando o crescimento e a promoção intelectual do aluno, sempre baseando na autonomia, iniciativa e ações concretas para o aluno aguçar com seu protagonismo. A articulação entre os pares, é outro fator que apresenta como forma de afirmação e desenvolvimento individual, assim como do grupo em si. É por se sentir avaliado e possuidor de voz relevante ao processo de ensino aprendizagem que aluno constrói seu desenvolvimento significativo.Com a utilização aula-online na rede pública, para que obtenham boas condições no uso de tecnologia internet, para contribuir melhor a respeito do entendimento de professor e alunos, com o uso da tecnologia no cotidiano escolar, devido ao período pandêmico da Covid-19. Dessa forma, estabelece uma ação autônima, colaborativa e significativa no processo de ensino aprendizagem em parceira com a família e escola, usando uma nova tecnologia, aula (ensino remoto) por meio do aparelho Celular via WhatsApp.

Tipo de Documento:	Tesis (Masters)
Palabras Clave:	aprendizagem colaborativa, Metodologia Formação de professores
Clasificación temática:	Materias > Educación
Divisiones:	Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
Depositado:	03 Nov 2023 23:30
Ultima Modificación:	03 Nov 2023 23:30
URI:	https://repositorio.unib.org/id/eprint/1692

Acciones (logins necesarios)

Ver Objeto

open

Association between blood cortisol levels and numerical rating scale in prehospital pain assessment

Background Nowadays, there is no correlation between levels of cortisol and pain in the prehospital setting. The aim of this work was to determine the ability of prehospital cortisol levels to correlate to pain. Cortisol levels were compared with those of the numerical rating scale (NRS). Methods This is a prospective observational study looking at adult patients with acute disease managed by Emergency Medical Services (EMS) and transferred to the emergency department of two tertiary care hospitals. Epidemiological variables, vital signs, and prehospital blood analysis data were collected. A total of 1516 patients were included, the median age was 67 years (IQR: 51–79; range: 18–103) with 42.7% of females. The primary outcome was pain evaluation by NRS, which was categorized as pain-free (0 points), mild (1–3), moderate (4–6), or severe (≥7). Analysis of variance, correlation, and classification capacity in the form area under the curve of the receiver operating characteristic (AUC) curve were used to prospectively evaluate the association of cortisol with NRS. Results The median NRS and cortisol level are 1 point (IQR: 0–4) and 282 nmol/L (IQR: 143–433). There are 584 pain-free patients (38.5%), 525 mild (34.6%), 244 moderate (16.1%), and 163 severe pain (10.8%). Cortisol levels in each NRS category result in p < 0.001. The correlation coefficient between the cortisol level and NRS is 0.87 (p < 0.001). The AUC of cortisol to classify patients into each NRS category is 0.882 (95% CI: 0.853–0.910), 0.496 (95% CI: 0.446–0.545), 0.837 (95% CI: 0.803–0.872), and 0.981 (95% CI: 0.970–0.991) for the pain-free, mild, moderate, and severe categories, respectively. Conclusions Cortisol levels show similar pain evaluation as NRS, with high-correlation for NRS pain categories, except for mild-pain. Therefore, cortisol evaluation via the EMS could provide information regarding pain status.

Producción Científica

Raúl López-Izquierdo mail , Elisa A. Ingelmo-Astorga mail , Carlos del Pozo Vegas mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Silvia Aparicio Obregón mail silvia.aparicio@uneatlantico.es, Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Ancor Sanz-García mail , Francisco Martín-Rodríguez mail ,

López-Izquierdo

open

Methodology and content for the design of basketball coach education programs: a systematic review

Background: The increasing complexity of basketball and the need for optimal decision-making in order to maximize competitive performance highlight the necessity of specialized training for basketball coaches. This systematic review aims to compile, synthesize, and integrate international research published in specialized journals on the training of basketball coaches and students, examining their characteristics and needs. Specifically, it analyzes the content, technical-tactical actions, and methodologies used in practice and education programs to determine which essential parameters for their technical and tactical development. Methods: A structured search was carried out following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA®) guidelines and the PICOS® model until January 30, 2025, 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 14,090 articles were obtained in the initial search. After inclusion and exclusion criteria, the final sample was 23 articles. These studies maintained a high standard of quality. This revealed data on the technical-tactical actions addressed in different categories; the profiles, characteristics, and influence of coaches on player development; and the approaches, teaching methods, and evaluation methodologies used in acquiring knowledge and competencies for the professional development of basketball coaches. Conclusions: Adequate theoretical and practical training for basketball coaches is essential for player development. Therefore, training programs for basketball coaches must integrate technical-tactical, physical, and psychological knowledge with the acquisition of skills and competencies that are refined through practice. This training should be continuous, more specialized, and comprehensive, focusing on understanding and constructing knowledge that supports the professional growth of basketballers. Additionally, training should incorporate digital tools and informal learning opportunities, with blended learning emerging as the most effective methodology for this purpose.

Producción Científica

Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Julio Calleja-González mail , Jeisson Mosquera-Maturana mail , Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es,

Alemany Iturriaga

open

Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review

Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. This study presents a systematic literature review (SLR) of deep learning applications for solar PV forecasting, addressing a gap in the existing literature, which often focuses on traditional ML or broader renewable energy applications. This review specifically aims to identify the DL architectures employed, preprocessing and feature engineering techniques used, the input features leveraged, evaluation metrics applied, and the persistent challenges in this field. Through a rigorous analysis of 26 selected papers from an initial set of 155 articles retrieved from the Web of Science database, we found that Long Short-Term Memory (LSTM) networks were the most frequently used algorithm (appearing in 32.69% of the papers), closely followed by Convolutional Neural Networks (CNNs) at 28.85%. Furthermore, Wavelet Transform (WT) was found to be the most prominent data decomposition technique, while Pearson Correlation was the most used for feature selection. We also found that ambient temperature, pressure, and humidity are the most common input features. Our systematic evaluation provides critical insights into state-of-the-art DL-based solar forecasting and identifies key areas for upcoming research. Future research should prioritize the development of more robust and interpretable models, as well as explore the integration of multi-source data to further enhance forecasting accuracy. Such advancements are crucial for the effective integration of solar energy into future power grids.

Producción Científica

Oussama Khouili mail , Mohamed Hanine mail , Mohamed Louzazni mail , Miguel Ángel López Flores mail miguelangel.lopez@uneatlantico.es, Eduardo García Villena mail eduardo.garcia@uneatlantico.es, Imran Ashraf mail ,

Khouili

open

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.

Producción Científica

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

open

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.

Producción Científica

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

Enlaces de interés

Enlaces de interés

Aprendizagem Colaborativa

Resumen

Acciones (logins necesarios)

TEMÁTICA

ACCESO

IDIOMA

Filtros