Recursos para educação inclusiva de estudantes com deficiência, de uma escola regular de educação básica do Rio de Janeiro
Tesis
Materias > Educación
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
Cerrado
Portugués
A presente pesquisa se justifica com base no cenário educacional atual, em que a escola vem enfrentando o desafio de incluir os estudantes com deficiência sem excluí-los do processo educativo. Nesse sentido, a proposta é fazer uma reflexão sobre a utilização adequada dos recursos para a inclusão desses estudantes da educação básica, na busca por igualdade de oportunidades e de uma educação de qualidade para todos, conforme definido na Constituição Federal, de 1988. De acordo com o último censo escolar (2020), o percentual de matrículas de estudantes de 4 a 17 anos, da educação especial incluídos em classe comum aumentou gradativamente, o que enfatiza a necessidade da reflexão sobre a adequação dos recursos utilizados pelos professores de uma instituição da rede particular da cidade do Rio de Janeiro / RJ, a Sociedade Educacional Recreio, para a inclusão dos alunos com deficiências. Seu objetivo é analisar os fatores que contribuem para a seleção dos recursos educacionais para a inclusão desses estudantes. Os procedimentos utilizados para a construção dos dados são a pesquisa de investigação para a coleta e análise de dados empíricos sobre uma problemática e a entrevista semiestruturada. Quanto à natureza, a pesquisa é considerada qualitativa, pois determina as razões e as características de um determinado fenômeno a partir da investigação do comportamento dos indivíduos no seu ambiente de atuação. Classifica-se como pesquisa-ação, pois seu objetivo é buscar mudanças no contexto pesquisado, descritiva porque é feita uma análise minuciosa e descritiva das características do objeto de estudo. Os dados coletados mostraram que os professores selecionam os recursos de acordo com a demanda apresentada pelos estudantes e suas especificidades, muitas vezes, necessitando construir ferramentas adequadas devido à escassez na escola, onde também não contam com sala de recursos e mão de obra de apoio. Concluiu-se que mesmo havendo uma legislação que garante o acesso e a permanência do estudante com deficiência na sala de aula regular, esse processo ainda é dificultoso e errôneo, pois o processo de inclusão exige o mínimo de preparo e instrumentalização adequada, que muitos não possuem. Mas, mesmo o cenário da educação inclusiva ainda não sendo o ideal, existe a boa vontade de muitos professores, que se reinventam e criam ferramentas auxiliadoras para que a aprendizagem significativa desses estudantes aconteça, possibilitando a eles igualdade de oportunidades.
metadata
Barreto de Oliveira Ferreira, Daniela
mail
danielaboferreira@gmail.com
(2022)
Recursos para educação inclusiva de estudantes com deficiência, de uma escola regular de educação básica do Rio de Janeiro.
Masters thesis, SIN ESPECIFICAR.
Resumen
A presente pesquisa se justifica com base no cenário educacional atual, em que a escola vem enfrentando o desafio de incluir os estudantes com deficiência sem excluí-los do processo educativo. Nesse sentido, a proposta é fazer uma reflexão sobre a utilização adequada dos recursos para a inclusão desses estudantes da educação básica, na busca por igualdade de oportunidades e de uma educação de qualidade para todos, conforme definido na Constituição Federal, de 1988. De acordo com o último censo escolar (2020), o percentual de matrículas de estudantes de 4 a 17 anos, da educação especial incluídos em classe comum aumentou gradativamente, o que enfatiza a necessidade da reflexão sobre a adequação dos recursos utilizados pelos professores de uma instituição da rede particular da cidade do Rio de Janeiro / RJ, a Sociedade Educacional Recreio, para a inclusão dos alunos com deficiências. Seu objetivo é analisar os fatores que contribuem para a seleção dos recursos educacionais para a inclusão desses estudantes. Os procedimentos utilizados para a construção dos dados são a pesquisa de investigação para a coleta e análise de dados empíricos sobre uma problemática e a entrevista semiestruturada. Quanto à natureza, a pesquisa é considerada qualitativa, pois determina as razões e as características de um determinado fenômeno a partir da investigação do comportamento dos indivíduos no seu ambiente de atuação. Classifica-se como pesquisa-ação, pois seu objetivo é buscar mudanças no contexto pesquisado, descritiva porque é feita uma análise minuciosa e descritiva das características do objeto de estudo. Os dados coletados mostraram que os professores selecionam os recursos de acordo com a demanda apresentada pelos estudantes e suas especificidades, muitas vezes, necessitando construir ferramentas adequadas devido à escassez na escola, onde também não contam com sala de recursos e mão de obra de apoio. Concluiu-se que mesmo havendo uma legislação que garante o acesso e a permanência do estudante com deficiência na sala de aula regular, esse processo ainda é dificultoso e errôneo, pois o processo de inclusão exige o mínimo de preparo e instrumentalização adequada, que muitos não possuem. Mas, mesmo o cenário da educação inclusiva ainda não sendo o ideal, existe a boa vontade de muitos professores, que se reinventam e criam ferramentas auxiliadoras para que a aprendizagem significativa desses estudantes aconteça, possibilitando a eles igualdade de oportunidades.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Deficiência, Inclusão, Recursos educacionais, Igualdade. |
| 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: | 14 Mar 2024 23:30 |
| Ultima Modificación: | 14 Mar 2024 23:30 |
| URI: | https://repositorio.unib.org/id/eprint/2277 |
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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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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 ,
Alemany Iturriaga
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Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species. Modern resources were used in this study, including the UniProt protein database for crop physiochemical properties associated with specific signaling domains and the SMART database for signaling protein domains. These insights were then applied to deep learning and machine learning techniques after careful data processing. The rigorous metric evaluations and ablation analysis that typified the study’s approach highlighted the algorithms’ effectiveness and dependability in recognizing and classifying stress events. Notably, the accuracy of SVM was 82%, while gradient boosting and RNN showed 96%, and 94%, respectively and LSTM obtained an astounding 97% accuracy. The study observed these successes but also highlights the ongoing obstacles to AI adoption in agriculture, emphasizing the need for creative thinking and interdisciplinary cooperation. In addition to its scholarly value, the collected data has significant implications for improving resource efficiency, directing precision agricultural methods, and supporting global food security programs. Notably, the gradient boosting and LSTM algorithm outperformed the others with an exceptional accuracy of 96% and 97%, demonstrating their potential for accurate stress categorization. This work highlights the revolutionary potential of AI to completely disrupt the agricultural industry while simultaneously advancing our understanding of plant stress responses.
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Background/Objectives. Traditional dietary patterns are being abandoned in Mediterranean countries, especially among younger generations. This study aimed to investigate the potential lifestyle determinants that can increase adherence to the Mediterranean diet in children and adolescents. Methods. This study is a cross-sectional analysis of data from five Mediterranean countries (Italy, Spain, Portugal, Egypt, and Lebanon) within the context of the EU-funded project DELICIOUS (UnDErstanding consumer food choices & promotion of healthy and sustainable Mediterranean Diet and LIfestyle in Children and adolescents through behavIOUral change actionS). This study comprised information on 2011 children and adolescents aged 6–17 years old collected during 2023. The main background characteristics of both children and parents, including age, sex, education, and family situation, were collected. Children’s eating (i.e., breakfast, place of eating, etc.) and lifestyle habits (i.e., physical activity level, sleep, and screen time) were also investigated. The level of adherence to the Mediterranean diet was assessed using the KIDMED index. Logistic regression analyses were performed to test for likelihood of higher adherence to the Mediterranean diet. Results. Major determinants of higher adherence to the Mediterranean diet were younger age, higher physical activity level, adequate sleep duration, and, among dietary habits, having breakfast and eating with family members and at school. Parents’ younger age and higher education were also determinants of higher adherence. Multivariate adjusted analyses showed that an overall healthier lifestyle and parents’ education were the factors independently associated with higher adherence to the Mediterranean diet. Conclusions. Higher adherence to the Mediterranean diet in children and adolescents living in the Mediterranean area is part of an overall healthy lifestyle possibly depending on parents’ cultural background.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
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StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides
Interleukin-10, a highly effective cytokine recognized for its anti-inflammatory properties, plays a critical role in the immune system. In addition to its well-documented capacity to mitigate inflammation, IL-10 can unexpectedly demonstrate pro-inflammatory characteristics under specific circumstances. The presence of both aspects emphasizes the vital need to identify the IL-10-induced peptide. To mitigate the drawbacks of manual identification, which include its high cost, this study introduces StackIL10, an ensemble learning model based on stacking, to identify IL-10-inducing peptides in a precise and efficient manner. Ten Amino-acid-composition-based Feature Extraction approaches are considered. The StackIL10, stacking ensemble, the model with five optimized Machine Learning Algorithm (specifically LGBM, RF, SVM, Decision Tree, KNN) as the base learners and a Logistic Regression as the meta learner was constructed, and the identification rate reached 91.7%, MCC of 0.833 with 0.9078 Specificity. Experiments were conducted to examine the impact of various enhancement techniques on the correctness of IL-10 Prediction. These experiments included comparisons between single models and various combinations of stacking-based ensemble models. It was demonstrated that the model proposed in this study was more effective than singular models and produced satisfactory results, thereby improving the identification of peptides that induce IL-10.
Salman Sadullah Usmani mail , Izaz Ahmmed Tuhin mail , Md. Rajib Mia mail , Md. Monirul Islam mail , Imran Mahmud mail , Carlos Eduardo Uc Ríos mail carlos.uc@unini.edu.mx, Henry Fabian Gongora mail henry.gongora@uneatlantico.es, Imran Ashraf mail , Md. Abdus Samad mail ,
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