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This study aimed to identify factors influencing preschool teachers' behavior in supporting the inclusion of 18–36 months-old children with special needs, based on the Universal Design for Learning (UDL) framework.

12p viaburame 14-03-2025 2 1   Download

This study aims to identify the most common errors in English speaking made by second-year English-major students in a selected university in the north of Vietnam. The study mainly focuses on three main factors that contribute to these errors: pronunciation, grammar, and vocabulary. Moreover, the study offers some recommendations for students to overcome these obstacles.

8p viaburame 14-03-2025 1 1   Download

This study explores the challenges and potential solutions for improving English language proficiency among non-English major students at Hoa Binh University. Through an analysis of current teaching practices, learner attitudes, and institutional structures, the research identifies critical factors contributing to poor English outcomes. Key issues include limited classroom hours, inconsistent entry-level proficiency, overcrowded classes, and a lack of motivation or clear learning goals among students.

8p tuongmotranh 18-03-2025 4 1   Download

This article explores the reality of using portfolios to assess students’ competencies in science subjects at some primary schools in Ho Chi Minh City through surveys of 198 primary teachers teaching in grades 4 and 5 at several primary schools in Ho Chi Minh City.

14p viaburame 14-03-2025 1 1   Download

This study will assess the effectiveness of using AR tools to design virtual experiments combined with methods and tools to deploy virtual chemistry experiments in teaching the topic of "Acid - Base - pH - Oxide - Salt" in Grade 8 Natural Science to enhance student learning outcomes and interest in Natural Science education.

10p viaburame 14-03-2025 2 1   Download

Automatically identifying and understanding students' questions about problems they encounter or issues related to their universities is very important for universities to promptly grasp the aspirations of their students. This enables them to support and satisfy their students and enhance their reputation. Especially as social networks and online media continue to develop, students can easily post their questions and concerns online.

11p viaburame 14-03-2025 1 1   Download

The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.

10p viengfa 28-10-2024 3 2   Download

This study delves into the potential of digital math games on mobile devices to enhance the learning experience of primary school children, aiming to instill a sense of hope and optimism in Vietnamese parents. In light of the increasing prevalence of digital games and concerns about screen time and game addiction, the research examines these educational tools' perceived benefits and drawbacks.

14p viling 11-10-2024 3 1   Download

The article presents the assessment of the students from K24, 23, and 22 (alumni) on its main program in 7 aspects: (i) program objectives; (ii) program content; (iii) soft skills; (iv) lecturers and teaching activities; (v)students’ learning outcome assessment; (vi) materials and facilities for learning; (vii) consultancy and supports given to students.

13p viormkorn 27-09-2024 14 3   Download

This study aims to build a classifier for credit scoring based on deep learning. We use a credit scoring dataset publicly available on the UC Irvine Machine Learning Repository, a source of machine learning datasets commonly used by researchers.

7p viling 11-10-2024 2 1   Download

This research proposes a new approach that leverages low-cost digital cameras and deep learning technology for counting and extracting rice grain traits. Our study introduces a preprocessing step to separate rice grain regions from the input image background using color space conversion.

8p viling 11-10-2024 2 1   Download

This paper proposes an intelligent plastic waste detection and classification system based on the Deep Learning model and Delta robot. This system includes a Delta robot, a camera, a conveyor, a control cabinet, and a personal computer.

10p viinuzuka 28-02-2025 3 1   Download

This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.

9p vihyuga 20-02-2025 3 1   Download

Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.

21p viyamanaka 06-02-2025 1 1   Download

English Language Supporters at AM English Center play a vital role in enhancing the learning experience for students. They work closely with both teachers and students, providing additional support to ensure that students have a smooth and effective learning journey. This report outlines the responsibilities and contributions of English language supporters at the Ho Chi Minh branch.

38p batcuop00 11-02-2025 5 2   Download

This research examines the self-learning capabilities of students at Thu Duc College of Technology, specifically those majoring in Finance and Accounting, in the context of the Industrial Revolution 4.0. This study aimed to provide recommendations for improving the quality of student education and training.

18p viyamanaka 06-02-2025 4 1   Download

In this paper, we propose a novel facial wrinkle segmentation method based on the Unet++ model, enhanced with dice and focal loss functions. Our approach begins with the construction of an enriched wrinkle dataset sourced from the Flickr-Faces-HQ dataset, ensuring diversity in wrinkle types and complexities.

7p viyamanaka 06-02-2025 3 2   Download

This paper presents a lightweight deep learning-based product object classification scheme designed for deployment on edge servers. Leveraging the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) dataset, six classes relevant to product objects are selected for model training and evaluation.

7p viyamanaka 06-02-2025 2 2   Download

In the context of advancing technology and increasing demand for efficient management, the application of an automated system capable of counting and tracking objects has become indispensable for improving the management process.

7p viyamanaka 06-02-2025 3 2   Download

This paper comprehensively explores and compares methods for multi-person action recognition, with a focus on integrating YOLOv7-Pose a tool known for its rapid pose estimation capabilities--with deep learning architectures. Specifically, it examines the use of Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Spatial TemporalGraph Convolution Network (ST-GCN) to achieve precise action classification.

5p viyamanaka 06-02-2025 5 2   Download