Developing and Implementing Effective Classroom Techniques through Communicative Language Teaching (CLT) for Acquiring Oral Proficiency among Adult ESL Learners Coursing a Hybrid Program
Tesis
Materias > Educación
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
Cerrado
Inglés
Developing and Implementing Effective Classroom Techniques through Communicative Language Teaching (CLT) for Acquiring Oral Proficiency among Adult ESL Learners Coursing a Hybrid ProgramAdult ESL learners are continuously coming to language schools in order to learn the new language. Their interests in learning to speak English include a variety of reasons. In short, to adjust to a new culture and to acquire the skills to survive and thrive in that new culture. It is well known that many approaches to teaching have arisen from researchers’ studies to ensure to development of oral competence. Communicative Language Teaching is an approach to teaching that focuses on developing speaking skills among learners. Both educators and adult learners admit that developing speaking skills in English is not an easy task. Adult learners usually struggle to maintain a conversation in English. Many cognitive, social, and personal factors are involved in adult language teaching. The topic aims to analyze those factors that interfere with the development of oral proficiency among adult ESL learners who take classes partially online under Communicative Language teaching methodology at a language school in Newark, New Jersey. It also aims to design classroom techniques that ensure the development of this competency. It collects data regarding students’ thoughts on the CLT methodology, the social barriers they face while learning a new language, and the learning strategies they use to develop oral competence. Also, the work seeks to shed some light on teachers’ techniques to help students overcome the obstacles that prevent them from developing oral competence. A quantitative, descriptive research approach was carried out for the completion of this project. We describe the situation and the nature of its existence at the time of the study. We give details regarding the type of students at the institution, and we explain in full detail the way classes are carried out. We did in-depth interviews with students and teachers as well, to find out the cause of the problem. A qualitative approach was also taken into consideration. We used qualitative research tools such as surveys and readily data from the institution. Results show that students are overall satisfied with the efficiency of the CLT methodology for promoting oral competence. On the other hand, one of the main red flag aspects shown in the results is that students are not practicing English outside of the classroom context. They lack the real-life context to practice or they are too shy to use the language that they have already acquired. Also, the learning strategies they use to learn and practice English are not effective enough. They mainly rely on translation to their mother tongue when it comes to learning vocabulary or grammar. The techniques used by teachers at the center are efficient in developing speaking skills, however, the institution provides the teaching methodology for teachers and requires them to stick to it when instructing students. This leaves teachers with a narrow frame to use and implement their teaching style and to broadly reach students’ oral competence needs. Keywords: CLT Methodology, Learning Cognitive Factors, Oral Proficiency, Teaching Techniques, Blended Learning.
metadata
Uceta De Rodríguez, Gidelca Mabel
mail
cutemabe@hotmail.es
(2022)
Developing and Implementing Effective Classroom Techniques through Communicative Language Teaching (CLT) for Acquiring Oral Proficiency among Adult ESL Learners Coursing a Hybrid Program.
Masters thesis, SIN ESPECIFICAR.
Resumen
Developing and Implementing Effective Classroom Techniques through Communicative Language Teaching (CLT) for Acquiring Oral Proficiency among Adult ESL Learners Coursing a Hybrid ProgramAdult ESL learners are continuously coming to language schools in order to learn the new language. Their interests in learning to speak English include a variety of reasons. In short, to adjust to a new culture and to acquire the skills to survive and thrive in that new culture. It is well known that many approaches to teaching have arisen from researchers’ studies to ensure to development of oral competence. Communicative Language Teaching is an approach to teaching that focuses on developing speaking skills among learners. Both educators and adult learners admit that developing speaking skills in English is not an easy task. Adult learners usually struggle to maintain a conversation in English. Many cognitive, social, and personal factors are involved in adult language teaching. The topic aims to analyze those factors that interfere with the development of oral proficiency among adult ESL learners who take classes partially online under Communicative Language teaching methodology at a language school in Newark, New Jersey. It also aims to design classroom techniques that ensure the development of this competency. It collects data regarding students’ thoughts on the CLT methodology, the social barriers they face while learning a new language, and the learning strategies they use to develop oral competence. Also, the work seeks to shed some light on teachers’ techniques to help students overcome the obstacles that prevent them from developing oral competence. A quantitative, descriptive research approach was carried out for the completion of this project. We describe the situation and the nature of its existence at the time of the study. We give details regarding the type of students at the institution, and we explain in full detail the way classes are carried out. We did in-depth interviews with students and teachers as well, to find out the cause of the problem. A qualitative approach was also taken into consideration. We used qualitative research tools such as surveys and readily data from the institution. Results show that students are overall satisfied with the efficiency of the CLT methodology for promoting oral competence. On the other hand, one of the main red flag aspects shown in the results is that students are not practicing English outside of the classroom context. They lack the real-life context to practice or they are too shy to use the language that they have already acquired. Also, the learning strategies they use to learn and practice English are not effective enough. They mainly rely on translation to their mother tongue when it comes to learning vocabulary or grammar. The techniques used by teachers at the center are efficient in developing speaking skills, however, the institution provides the teaching methodology for teachers and requires them to stick to it when instructing students. This leaves teachers with a narrow frame to use and implement their teaching style and to broadly reach students’ oral competence needs. Keywords: CLT Methodology, Learning Cognitive Factors, Oral Proficiency, Teaching Techniques, Blended Learning.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | CLT Methodology, Learning Cognitive Factors, Oral Proficiency, Teaching Techniques, Blended Learning. |
| 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: | 24 Oct 2023 23:30 |
| Ultima Modificación: | 24 Oct 2023 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/1216 |
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 href="/17858/1/s41598-025-18979-8.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Detection and classification of brain tumor using a hybrid learning model in CT scan images
Accurate diagnosis of brain tumors is critical in understanding the prognosis in terms of the type, growth rate, location, removal strategy, and overall well-being of the patients. Among different modalities used for the detection and classification of brain tumors, a computed tomography (CT) scan is often performed as an early-stage procedure for minor symptoms like headaches. Automated procedures based on artificial intelligence (AI) and machine learning (ML) methods are used to detect and classify brain tumors in Computed Tomography (CT) scan images. However, the key challenges in achieving the desired outcome are associated with the model’s complexity and generalization. To address these issues, we propose a hybrid model that extracts features from CT images using classical machine learning. Additionally, although MRI is a common modality for brain tumor diagnosis, its high cost and longer acquisition time make CT scans a more practical choice for early-stage screening and widespread clinical use. The proposed framework has different stages, including image acquisition, pre-processing, feature extraction, feature selection, and classification. The hybrid architecture combines features from ResNet50, AlexNet, LBP, HOG, and median intensity, classified using a multilayer perceptron. The selection of the relevant features in our proposed hybrid model was extracted using the SelectKBest algorithm. Thus, it optimizes the proposed model performance. In addition, the proposed model incorporates data augmentation to handle the imbalanced datasets. We employed a scoring function to extract the features. The Classification is ensured using a multilayer perceptron neural network (MLP). Unlike most existing hybrid approaches, which primarily target MRI-based brain tumor classification, our method is specifically designed for CT scan images, addressing their unique noise patterns and lower soft-tissue contrast. To the best of our knowledge, this is the first work to integrate LBP, HOG, median intensity, and deep features from both ResNet50 and AlexNet in a structured fusion pipeline for CT brain tumor classification. The proposed hybrid model is tested on data from numerous sources and achieved an accuracy of 94.82%, precision of 94.52%, specificity of 98.35%, and sensitivity of 94.76% compared to state-of-the-art models. While MRI-based models often report higher accuracies, the proposed model achieves 94.82% on CT scans, within 3–4% of leading MRI-based approaches, demonstrating strong generalization despite the modality difference. The proposed hybrid model, combining hand-crafted and deep learning features, effectively improves brain tumor detection and classification accuracy in CT scans. It has the potential for clinical application, aiding in early and accurate diagnosis. Unlike MRI, which is often time-intensive and costly, CT scans are more accessible and faster to acquire, making them suitable for early-stage screening and emergency diagnostics. This reinforces the practical and clinical value of the proposed model in real-world healthcare settings.
Roja Ghasemi mail , Naveed Islam mail , Samin Bayat mail , Muhammad Shabir mail , Shahid Rahman mail , Farhan Amin mail , Isabel de la Torre mail , Ángel Gabriel Kuc Castilla mail angel.kuc@uneatlantico.es, Debora L. Ramírez-Vargas mail debora.ramirez@unini.edu.mx,
Ghasemi
en
close
Evidence suggests that first- and second-generation mindfulness-based interventions (MBIs) can improve body image concerns in adolescents and adults. However, a systematic review of such interventions is lacking. The aim of this study is to synthesize evidence from randomized controlled trials evaluating the efficacy of both first- and second-generation MBIs in reducing negative body image and enhancing positive body image. Database searches were conducted in PubMed, CoChrane, Proquest Thesis & Dissertations and ScienceDirect up to August 2025, identifying 3394 records. After screening, 43 studies met eligibility criteria (n = 7979) and were evaluated for methodological quality following PRISMA guidelines. Of them, 16 (37.2 %) evaluated first-generation MBIs, while the remaining 27 studies (55.8 %) examined second-generation MBIs, with self-compassion being the most commonly used intervention. Only one study used both generations. Both first- and second-generation interventions demonstrated moderate to large effect sizes in most studies, with 94 % reporting significant improvements in at least one body image outcome. The methodological quality, assessed using the JBI tool, was rated as having either low risk of bias or some concerns in nearly 70 % of the studies. These findings highlight the global efficacy of MBIs for reducing negative body image and improving positive body image, while also underscoring the need for future research to employ more methodologically rigorous designs, multidimensional outcome measures, and greater inclusion of diverse sex, gender, and ethnic groups.
Alba Gutiérrez Cabrero mail , Marian González-García mail marian.gonzalez@uneatlantico.es,
Gutiérrez Cabrero