This study responds to the growing interest in the emotional dimensions of second language acquisition. Informed by the fundamental principles of the control-value theory, this quantitative research employs a questionnaire survey method. The study investigated 451 non-English major freshmen at a second-tier Chinese university for their foreign language anxiety (FLA) and foreign language boredom (FLB), examining their correlations and predictive effects on Matriculation English Test (MET) scores. These students, at the beginning of their university education and having not yet started their courses, provided a unique opportunity to explore the impact of emotional factors on the MET within the context of second language acquisition (SLA). Data were collected using classical questionnaires for FLA and FLB, and analyzed with SPSS 26.0 using descriptive statistics, Pearson correlation, and multiple regression to examine their correlations and predictive effects on MET scores. The research r.....

205 hits

STEM education has been formally introduced in order to foster student interest towards science and technology fields. Different approaches, strategies and tools have been used in order to implement an integrative STEM education at difference levels of education. Robot is one of the widely used tools to implement an integrative STEM education where the STEM components can be integrated and implemented using a single platform. However, the commercially available robotic platforms are mostly proprietary, high cost and has very restricted functions. In addition, the development of the proprietary robotic platforms and its activities are mostly not considering the content of the STEM related subjects in school. This study intends to develop a robotic kit (known as STEMbot) based on Mechatronics Design Process approach considering the STEM related course contents of the middle school in Malaysia using on open-source development tools. The findings demonstrate that the proposed STEMbot robot.....

232 hits

In this article, two social work academics reflect on their experiences conducting qualitative research with cancer patients and their caregivers. Reflections and insights from their experiences are provided for social work students, researchers, and social workers who want to conduct their research and/or practice in oncology. © The Author(s) 2023...

216 hits

Pregnancy complications, which are the biggest cause of death in productive women, are more common in developing countries with low incomes. One of the contributors to death in pregnant women is preeclampsia which contributes 2-8% every day. Based on research results, more than 70% of the use of technology can be a solution for early prevention in detecting cases of pregnancy. The aim of this research is to build a model for early detection of preeclampsia using a machine learning approach. Sample using retrospective data with sample size 1.473. Based on the result, decision tree (DT) is the best model with accuracy 92.2% (area under curve (AUC): 0.91; Spec: 92.3; and Sens: 83.6), according to weigh correlation we can show 3 (three) highest features causes preeclampsia is history of hypertension, history of diabetes mellitus, and history of preeclampsia. The health of pregnant women is essential in the development of the fetus, so it needs optimal monitoring. Monitoring during pregnanc.....

139 hits

The sustainable redevelopment of urban brownfields represents a complex interplay of socio-economic, environmental, and regulatory factors. This study addresses the research problem of quantifying the challenges inherent in the sustainable redevelopment process and hypothesizes that these challenges vary significantly across different domains such as governance, environmental impact, financial economics, technical operations, and legal regulations. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), the study aims to explore and quantify these challenges, providing actionable insights for policymakers and stakeholders. Focusing on brownfield projects within Chengdu's five urban districts, a survey was conducted spanning from November 1, 2023, to March 1, 2024, with a total of 436 respondents participating. Drawing upon an extensive dataset encompassing governance, environmental impact, financial economics, technical operations, and legal regulations, we provide a co.....

260 hits

Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 patients for MSC transfusion based on multiple criteria is considered a multi-Attribute decision-Analysis (MADA) problem. Although literature reviews have assessed the prioritization of COVID-19 patients for MSCs, issues arising from imprecise, unclear and ambiguous information remain unresolved. Compared with the existing MADA methods, the robustness of the fuzzy decision by opinion score method (FDOSM) and fuzzy-weighted zero inconsistency (FWZIC) is proven. This study adopts and integrates FDOSM and FWZIC in a homogeneous Fermatean fuzzy environment for criterion weighting followed by the prioritization of the most eligible COVID-19 patients for MSC transfusion. The research methodology had two phases. The decision matrices of three COVID-19 emergency levels (moderate, severe, and critical) were adopted based.....

108 hits

Recent research specifies that game-based learning effectively engages students in classroom activities. Although there has been a prominent upsurge in game-based teaching and learning, this area has not received significant attention within the context of Gulf nations. This study investigates the perceptions, motivations, and benefits of game-based teaching-learning among school teachers, aiming to enhance the interactive learning environment. This study used a quantitative method and survey data from 505 school teachers who were actively teaching around the United Arab Emirates to reach its objectives. The majority of teachers believed that using games as a teaching tool in the classroom was a good idea. The study revealed the potential for game-based learning in the classroom and identified challenges, such as the need for rigorous game-based instructional design. We examined game-based teaching and learning’s role in contributing to interactive learning environments and its appar.....

213 hits

The objective of this paper is to develop an Arabic Muamalat Module (M~BAM) and evaluate its effectiveness in improving mastery of Arabic related to muamalat. This module is constructed using the ADDIE model, which consists of five development phases. The study design is descriptive, employing a quantitative approach. The instrument used for the study is the module content-validation assessment form. The module underwent validation by seven experts in validity assessment, comprising lecturers from both public and private universities as well as Institute of Teacher Education (IPG) lecturers. All possess expertise in module development, Arabic content and pedagogy. The results of the experts' validity assessment indicate that the module is relevant and usable, with a mean score of 4.29. It can be concluded that a meticulous approach to developing the M~BAM module is required for Islamic finance students, aligning with educational standards, and employing diverse teaching methods. With a.....

337 hits

Sentiment analysis has become an indispensable tool in interpreting vast amounts of data generated from social media platforms, providing insights into public opinions on a variety of topics. This is particularly relevant in the context of emerging technologies like the Metaverse, which are frequently discussed across digital platforms. Traditional sentiment analysis tools struggle with the volume and complexity of data, particularly when dealing with nuanced discussions around new technologies such as the Metaverse. Convolutional Neural Networks (CNNs), known for their success in image processing, have not been extensively validated for their efficacy in analyzing sentiment from text-based social media data. This study introduces a novel approach by applying CNNs specifically to Metaverse-related tweets. This approach leverages CNNs’ ability to extract meaningful patterns from complex textual data, offering potentially superior performance over traditional models. We utilized a data.....

191 hits

The Niah Caves are an important archaeological site that supports a resident population and is host to a large and growing number of visitors. Close monitoring, strict regulations and careful management will be required in the long term to avoid pressures and threats from urban expansion, plantations, resource use, village growth, excessive tourist infrastructure and use, and service development. However, the absence of a formally written conservation and management plan prior to 2022 has left the heritage conservation and management of the Niah Cave site insufficient in addressing its management challenges. Hence, this paper analyses the conservation and management plan for the site through systematic observation, site analysis, and stakeholder interviews. The research focuses on documentation and recording, assessing the site’s importance, identifying all factors and issues, defining management policy, selecting management strategies, and monitoring and reviewing the plans for the .....

445 hits