Proposal for the improvement of reading comprehension of English as a foreign language based on social networks for tenth grade students
Tesis
Materias > Educación
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster
Cerrado
Inglés
The use of social networks is part of the daily life of adolescents. Through them, they communicate with their friends and family, have fun and explore different topics. On the other hand, reading comprehension in English is one of the skills that is most worked on with students about to finish their high school studies and start university life. This degree work seeks to integrate social networks such as Instagram and WhatsApp with the development of reading comprehension in English of tenth-grade students of a public institution through a didactic proposal that includes topics of interest to students that are usually published and shared on social networks. The proposal is developed in several stages and moments as different aspects of reading comprehension are worked on, such as the speed of comprehension, the level of comprehension, and the recognition of vocabulary in the texts.In this action research, a mixed methodology was used, including aspects of the case study. For the first objective, where a diagnosis of the level of English of the students was necessary, an instrument taken from an English teaching text was applied. For the following objective, the literature on successful educational experiences in the use of social networks worldwide was reviewed. Combining the findings of the diagnosis and the literature, a didactic proposal carried out for several weeks was created. At the end of the proposal, the instrument used as a diagnosis was applied again and the new results were analyzed.Some results of this research were the low level of reading comprehension of the students evidenced in the initial diagnosis and their improvement after the implementation of the didactic proposal. It can be also deduced the need to encourage the use of ICT both in students and teachers in the development of skills in English, which has to work with the scarcity of technological resources such as computers and internet connections in the educational institution. Other aspects such as the connection of topics to the interests and likes of the students, and the need to expand the didactic proposal in other groups and for a longer time were shown in the results and conclusions of this research.
metadata
Echavarria Cifuentes, Claudia Yanet
mail
claudia.echavarria@udea.edu.co
(2022)
Proposal for the improvement of reading comprehension of English as a foreign language based on social networks for tenth grade students.
Masters thesis, SIN ESPECIFICAR.
Resumen
The use of social networks is part of the daily life of adolescents. Through them, they communicate with their friends and family, have fun and explore different topics. On the other hand, reading comprehension in English is one of the skills that is most worked on with students about to finish their high school studies and start university life. This degree work seeks to integrate social networks such as Instagram and WhatsApp with the development of reading comprehension in English of tenth-grade students of a public institution through a didactic proposal that includes topics of interest to students that are usually published and shared on social networks. The proposal is developed in several stages and moments as different aspects of reading comprehension are worked on, such as the speed of comprehension, the level of comprehension, and the recognition of vocabulary in the texts.In this action research, a mixed methodology was used, including aspects of the case study. For the first objective, where a diagnosis of the level of English of the students was necessary, an instrument taken from an English teaching text was applied. For the following objective, the literature on successful educational experiences in the use of social networks worldwide was reviewed. Combining the findings of the diagnosis and the literature, a didactic proposal carried out for several weeks was created. At the end of the proposal, the instrument used as a diagnosis was applied again and the new results were analyzed.Some results of this research were the low level of reading comprehension of the students evidenced in the initial diagnosis and their improvement after the implementation of the didactic proposal. It can be also deduced the need to encourage the use of ICT both in students and teachers in the development of skills in English, which has to work with the scarcity of technological resources such as computers and internet connections in the educational institution. Other aspects such as the connection of topics to the interests and likes of the students, and the need to expand the didactic proposal in other groups and for a longer time were shown in the results and conclusions of this research.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Public high school, social networks, reading comprehension, teaching proposal, skills, English, foreign language |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster |
| Depositado: | 29 Abr 2024 23:30 |
| Ultima Modificación: | 29 Abr 2024 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/2970 |
Acciones (logins necesarios)
 |
Ver Objeto |
en
close
Enzymatic treatment shapes in vitro digestion pattern of phenolic compounds in mulberry juice
The health benefits of mulberry fruit are closely associated with its phenolic compounds. However, the effects of enzymatic treatments on the digestion patterns of these compounds in mulberry juice remain largely unknown. This study investigated the impact of pectinase (PE), pectin lyase (PL), and cellulase (CE) on the release of phenolic compounds in whole mulberry juice. The digestion patterns were further evaluated using an in vitro simulated digestion model. The results revealed that PE significantly increased chlorogenic acid content by 77.8 %, PL enhanced cyanidin-3-O-glucoside by 20.5 %, and CE boosted quercetin by 44.5 %. Following in vitro digestion, the phenolic compound levels decreased differently depending on the treatment, while cyanidin-3-O-rutinoside content increased across all groups. In conclusion, the selected enzymes effectively promoted the release of phenolic compounds in mulberry juice. However, during gastrointestinal digestion, the degradation of phenolic compounds surpassed their enhanced release, with effects varying based on the compound's structure.
Peihuan Luo mail , Jian Ai mail , Qiongyao Wang mail , Yihang Lou mail , Zhiwei Liao mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Elwira Sieniawska mail , Weibin Bai mail , Lingmin Tian mail ,
Luo
<a class="ep_document_link" href="/17819/1/1-s2.0-S2214804325000679-main%20%281%29.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
What works in financial education? Experimental evidence on program impact
Financial education is increasingly essential for safeguarding both individual and corporate well-being. This study systematically reviews global financial education experiments using a dual-method framework that integrates a deep learning classifier with advanced multivariate statistical techniques. Our analysis indicates that while short-term improvements in financial literacy are common, such gains tend to diminish over time without ongoing reinforcement. Moreover, the limited impact of digital innovations and monetary incentives suggests that successful financial education depends on more than simply deploying technological solutions or extrinsic rewards. Overall, this review provides valuable insights into the evolving landscape of financial education in a dynamic economic context and underscores the need for sustainable strategies that secure lasting improvements in financial literacy.
Gonzalo Llamosas García mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es,
García
en
close
Epigallocatechin gallate (EGCG) is the most abundant polyphenol in tea. Owing to the different fermentation degrees, differences in polyphenol composition of water extracts of green tea, white tea, oolong tea, and black tea occur, and affect health value. This study revealed that the content of EGCG decreases with the increase in the degree of fermentation. In tea with a high fermentation degree, EGCG was stably present in the form of ammoniation to yield nitrogen-containing EGCG derivative (N-EGCG). The content of N-EGCG in tea was negatively correlated with the content of EGCG. Furthermore, the content of l-serine and L-threonine in tea was positively and negatively correlated with N-EGCG and EGCG levels, respectively, suggesting that they may participate in the formation of N-EGCG as nitrogen sources. This study proposes a new fermentation-induced polyphenol-amino acid synergistic mechanism, which provides a theoretical basis for the study of the biotransformation reaction mechanism of tea polyphenols.
Yuxuan Zhao mail , Jingyimei Liang mail , Wanning Ma mail , Mohamed A. Farag mail , Chunlin Li mail , Jianbo Xiao mail ,
Zhao
<a class="ep_document_link" href="/17843/1/s41599-025-05247-3.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Econometric analysis has long been integral to measuring sustainable environmental quality, with panel data methods, such as fixed and random effects models, becoming the focal point of modern research. Initially, such methods were used to simply investigate environmental issues, but recent years have seen a shift toward the study of random effects models, focusing on hypothesis testing and policy debates. However, several important aspects of the Hausman test have not been sufficiently investigated in the literature. This study seeks to evaluate the utility of the Hausman test using a real dataset from tourism and globalization, exploring their effects on sustainable environmental quality. Additionally, the study examines key factors contributing to environmental issues including economic growth and energy consumption, as critical explanatory variables. By investigating the relationship between tourism, globalization, economic growth, and energy use, the research focuses on the top 10 most visited economies: France, the USA, Spain, China, Turkey, Italy, Mexico, Germany, Thailand, and the UK. Using panel data and the cross-sectional random effects model for the period of 1998 to 2024, the study produces reliable estimations of these relationships. The empirical findings suggest that while the Hausman test favors the fixed effect model, the real-world characteristics of these countries point to the random effect model, highlighting the negative impact of economic growth, energy consumption, and globalization on sustainable environmental quality. It is also suggested that socio-environmental factors should be considered for each destination for sustainable environmental quality.
Saba Nourin mail , Ismat Nasim mail , Hafiz Muhammad Raza ur Rehman mail , Elisabeth Caro Montero mail elizabeth.caro@uneatlantico.es, Mirtha Silvana Garat de Marin mail silvana.marin@uneatlantico.es, Nagwan Abdel Samee mail , Imran Ashraf mail ,
Nourin
<a href="/17844/1/frai-1-1572645.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
A systematic review of deep learning methods for community detection in social networks
Introduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns. Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. A total of 19 studies were carefully selected from reputable databases, including the ACM Library, Springer Link, Scopus, Science Direct, and IEEE Xplore. This review investigates the employed methodologies, evaluates their effectiveness, and discusses the challenges identified in these works. Results: Our review shows that models like graph neural networks (GNNs), autoencoders, and convolutional neural networks (CNNs) are some of the most commonly used approaches for community detection. It also examines the variety of social networks, datasets, evaluation metrics, and employed frameworks in these studies. Discussion: However, the analysis highlights several challenges, such as scalability, understanding how the models work (interpretability), and the need for solutions that can adapt to different types of networks. These issues stand out as important areas that need further attention and deeper research. This review provides meaningful insights for researchers working in social network analysis. It offers a detailed summary of recent developments, showcases the most impactful deep learning methods, and identifies key challenges that remain to be explored.
Mohamed El-Moussaoui mail , Mohamed Hanine mail , Ali Kartit mail , Mónica Gracia Villar mail monica.gracia@uneatlantico.es, Helena Garay mail helena.garay@uneatlantico.es, Isabel de la Torre Díez mail ,
El-Moussaoui