Learning approaches

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.

9p vipanly 28-10-2024 2 1   Download

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.

7p vipanly 28-10-2024 2 1   Download

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.

8p viengfa 28-10-2024 1 1   Download

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 2 2   Download

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 5 2   Download

In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.

14p viengfa 28-10-2024 6 2   Download

This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

13p viengfa 28-10-2024 2 2   Download

This research delves into the realm of language learning strategies (LLSs) among 116 Vietnamese and Indonesian university students majoring in English and English Language Education. Utilizing Rebecca Oxford's Strategy Inventory for Language Learning (SILL) with a quantitative approach, the study aims to unravel the connections between culture and language learning strategies.

9p viling 11-10-2024 2 0   Download

This study aimed at investigating English-major students’ experiences with the use of digital resources for their informal language learning (ILL) at a university in Vietnam. The data collection instruments included questionnaires, which were delivered online to 91 participants, and semi-structured interviews carried out with 12 of these participants.

18p viling 11-10-2024 2 1   Download

The study employed the quantitative approach through a questionnaire. The findings of the study reveal that learners have to confront certain barriers regarding the policy, curriculum and applicability along with the opportunities to develop and foster competency.

15p viling 11-10-2024 1 1   Download

This paper introduces a new clustering technique based on granular computing. In tradional clustering algorithms, the integration of the high shaping capability of the existing datasets becomes fussy which in turn results in inferior functioning.

8p viling 11-10-2024 2 1   Download

In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.

8p viling 11-10-2024 1 1   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 1 1   Download

In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

12p 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 1 1   Download

This article develops the algorithms, models and program to assess the technical risks in the period of construction and service of expressway bridges in Vietnam using Machine Learning, in order to solve the current limitations in this work. The selection of key influencing factors is especially important in the field of risk assessment.

13p vibecca 01-10-2024 3 1   Download

In this paper, we propose a novel DL-based solution for web attack detection, named DL-WAD, leveraging deep learning and natural language processing techniques. Moreover, DL-WAD is designed with a data preprocessing mechanism aimed at differentiating between regular web requests and malicious ones that carry attack payloads encompassing multiple types of web attacks.

11p viyoko 01-10-2024 7 1   Download

In this study, a supervised learning ANFIS model was developed to predict the compressive strength of concrete at 28 days. Data used in training and testing model were collected from a previous study.

13p vifilm 24-09-2024 5 1   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers.

11p vifilm 24-09-2024 4 1   Download

This study introduces a novel integrated system that utilizes advanced computational models to assess the NIOSH Lifting Index in real-time, offering a significant improvement over traditional ergonomic assessment methods.

17p vifaye 20-09-2024 3 1   Download