Learning English

This research investigates the impact of changing educational environment on five overseas students’ autonomous learning in Australia. Using the learning ecology framework, the study examines the correlation between changes in the learning environment and the degree of autonomy achieved by the learners.

8p vipanly 28-10-2024 1 0   Download

When mentioning teaching and learning English at all levels of education in countries where English is classified as English as a Foreign Language, four principal skills – listening, speaking, reading, and writing – have been widely researched. Listening has long been recognized as a challenging skill for teachers, students, and researchers in non-English native language contexts.

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This article aims to find out the 2nd year non-English major students’ learning at National Academy of Public Administration towards the speaking skills in the textbook “Face2face, Pre-intermediate” with the focus on students’ difficulties, preferences and demands in learning speaking skill.

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This study seeks to explore the potential of the Project-based learning method in enhancing three important soft skills, including critical thinking, social-emotional skill, and self-regulation, which are believed to be beneficial for students’ sustainable development, among non-English-major students in a university in Ho Chi Minh city, Vietnam.

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This qualitative study delves into EFL teachers’ strategies for promoting inclusivity in language assessment through their utilization of alternative approaches to accounting for students’ diverse sociocultural backgrounds, language learning experiences, and levels of proficiency.

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This study aimed to investigate the impact of digital storytelling on improving grade 6 students’ listening comprehension at a primary and secondary school in a mountainous province in Vietnam.

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This research article explores the potential of active learning pedagogies to enhance student engagement, knowledge retention, and essential skill development in higher education. These learner-centered approaches, such as experiential, project-based, and inquiry-based learning, contrast with traditional lecture-based methods that prioritize passive information transfer.

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This paper aimed at investigating teachers’ perceptions in promoting LA in language teaching and learning in online language classes, specifically at International School, Vietnam National University, Hanoi. In-depth interviews were conducted for 7 teachers and the results were obtained via thematic analysis.

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This report focuses on examining how powerful feedforward is when utilized within ESL/EFL teaching environments. In contrast to feedback, which centers much around past achievements, feedforward pays attention to what could be done differently and provides the direction toward realization (Dweck, 2006).

13p viengfa 28-10-2024 1 0   Download

This study intends to investigate the task-based language teaching (TBLT), known for its effectiveness in English Language Teaching (ELT) to improve students' communicative English skills. The study also aims to get insights into students' perspectives on learning grammar through Task-Based Language Teaching (TBLT).

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This study aims to report on an investigation into Dong Nai University EFL students' beliefs and practices of autonomous learning. The study was carried out for 6 weeks in the first semester of school year 2023-2024 at Dong Nai University, Vietnam. The research employed a quantitative method by using a questionnaire to gather data from 80 English-majored students.

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The study highlights the importance of beliefs in EFL teaching and learning and provides meaningful contributions to undergraduate preservice teachers, teachers and teacher educators to enhance the quality of teaching EFL to young learners in Vietnam in particular, and in other EFL contexts in general.

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The quandary of the choice between the use of English-only policy or mother tongue in learning and teaching English for Specific Purposes has been ongoing for the past few years at the tertiary level. This study aims to investigate the effectiveness and practicality of implementing the two teaching and learning approaches.

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The study aims at examining EFL teachers’ perceptions on their roles and how they occupy these roles in project-based learning at a Vietnamese state university. Narrative interviews were employed to collect qualitative data with the participation of five teachers at the Faculty of Foreign Languages at Ho Chi Minh City University of Technology and Education.

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The study was conducted with the participation of 150 first-year and second-year English major students at the School of Foreign Languages, Thai Nguyen University. The results of the study indicate that all the vocabulary learning strategies listed in the questionnaire were used by the participants.

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EFL teachers play different roles in supporting students’ development of learner autonomy in their learning. However, they may encounter challenges in fulfilling their task. This study aims to investigate EFL teachers’ roles and challenges they may face in developing learner autonomy for non-English majors at a college in Ho Chi Minh City, Vietnam.

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The study aims to help students understand challenges when learning legal English, and propose vocabulary learning strategies for students to accumulate appropriate knowledge and a rational orientation for learning legal English.

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Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).

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The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

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This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.

5p viengfa 28-10-2024 1 1   Download