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Exploring Teachers’ Happiness : A Scoping Review
No full textHappiness is an umbrella term that encompasses a range of positive emotions and feelings, such as joy, contentment, satisfaction, and fulfilment. In education, teacher happiness is largely associated with job satisfaction, which helps in creating a positive classroom environment. Despite the fundamental role teachers play, there exists a persistent and concerning issue surrounding the overall happiness and well-being of teachers. A substantial
knowledge gap exists in understanding factors contributing to teacher happiness and their impact. This not only affects the mental health and job satisfaction of teachers, but also has broader implications for student learning outcomes and the overall efficiency of the education system. Thus, the main purpose of this scoping review served to explore current available literature on teacher happiness, which aims to assist in creating a supportive environment that
fosters teacher happiness and, consequently, enhances the quality of education. For this view, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for
Scoping Reviews (PRISMA-ScR) standards were applied, with the utilization of these four databases: ERIC, Google Scholar, ProQuest, and SCOPUS. 14 studies were found to be
suitable and were selected accordingly. The findings conclude that teacher happiness led to increased performance and productivity, student engagement, higher retention rate, and better overall mental health
Unravelling the Paradox : Investigating the Inconsistent Findings in Mobile-Assisted Language Learning Research
No full textMobile-Assisted Language Learning (MALL) has gained widespread attention in educational research, leading to diverse investigations across multiple areas. A significant
body of research has explored learners’ acceptance of and continued intention to use mobilemediated language learning. Numerous studies have also examined the impact of MALL on
language skills development, focusing on vocabulary acquisition, listening, reading, speaking, and writing. However, findings suggest inconsistency on the effectiveness of MALL with both positive and negative results. The inconsistency entails further exploration on the MALL
effectiveness on language skills enhancement. Beyond language skills enhancement, researchers have also investigated the broader impact of MALL on learners’ motivation, engagement, and overall satisfaction. Studies also indicate conflicting findings, and the issues
of lacking of engagement and motivation were widely reported in the extant literature. Therefore, despite the growing body of research, gaps remain in understanding how MALL
influences learning outcomes in different contexts and how MALL affects learners’ psychological states like motivation, engagement and satisfaction. This study provides a
detailed review of existing literature on MALL, synthesising key findings and identifying areas that require further exploration to optimise the effectiveness of mobile technologies in language learning
Lorentz‑modulated multiscale nonlinear difusion for stitching in near‑uniform scenes
Get PDFImage stitching fnds diverse applications in multimedia contexts, and creating panoramic images with this technique can be particularly challenging in near-uniform scenes. Traditional feature detectors often struggle to identify distinctive features concealed within these scenes.
The problem arises from the presence of featureless or homogeneous content lacking the necessary distinctiveness required to provide abundant and widely dispersed corresponding interest points. Such problems can result in unsatisfactory visual outcomes during the stitching process,
manifesting as conspicuous artifacts like seams, ghosting, and geometric distortion due to insuffcient matchable inliers between overlapping images. This paper presents a novel approach to feature detection, employing a nonlinear difusion method that involves modifying the conductivity function of the partial diferential equation. Inspired by the time dilation phenomenon in Einstein’s theory of special relativity, we incorporate the Lorentz factor into the conductivity function, enabling the construction of novel multiscale nonlinear scale spaces that can efectively
detect features in homogeneous regions and accurately stitch multiple images. Our experimental fndings reveal that the proposed method consistently surpasses other state-of-the-art techniques in detecting extensive features and enhancing image stitching quality in near-uniform scenes
Advanced oxidation process-mediated removal of pharmaceuticals from water : a review of recent advances
Get PDFPharmaceutical compounds have raised signifcant environmental concerns, due to their persistent and non-biodegradable nature. Addressing their presence in the environment has become a priority, leading to the application of various removal treatment techniques. Advanced oxidation processes (AOPs) undoubtedly have emerged as highly efective removal techniques, as evidenced by the growing body of work in this area. This review ofers an overview of the recent advances in the development of AOPs for treating pharmaceuticals and their by-products. Current trends and discoveries reported in diverse AOP studies have been scrutinized and are presented. Furthermore, emphasis is placed on the use of TiO2-mediated photocatalysis, which stands out as one of the most explored AOPs for pharmaceutical remediation. Performance aspects of TiO2 photocatalytic treatment are explored and discussed encompassing both commercially available and synthesized TiO2, as well as engineered TiO2-based materials (e.g. activated carbon, polymers, metals and non-metals), all aimed at removal of pharmaceutical compounds from the environment. The review concludes by summarizing key fndings and ofers insights into directions for future research
A joint learning classification for intent detection and slot filling from classical to deep learning: a review
Get PDFIn a dialogue system, the natural language understanding component plays a critical role in enabling effective communication. The two core tasks within this component are intent detection and slot filling. Intent detection identifies the user’s goal, while slot filling extracts relevant information to fulfill that goal. Traditionally, these tasks were approached separately or in a pipeline-like manner. However, recent studies have emphasized the benefits of solving them jointly due to their natural interconnections. This study explores the evolution of joint learning models for intent detection and slot filling from 2008 to 2024, covering both classical and deep learning approaches. It discusses the limitations of classical models, which led to the rise of deep learning techniques, and introduces a new taxonomy for joint learning classifying joint learning architectures. Key benchmark datasets, evaluation metrics, and the challenges faced by joint models are also analyzed. Finally, the review identifies open research questions and proposes directions for future exploration in this field
Polymer Nanocomposite Membranes in Water Treatment and Desalination : Recent Developments, Future Opportunities, and Sustainable Applications
Get PDFWater scarcity is one of the most pressing global challenges of the 21st century, with a growing demand for clean, safe, and accessible water resources. As the world’s
population continues to rise and industrial activities expand, the need for efficient water treatment technologies becomes more urgent. Among the various approaches to
addressing this challenge, membrane filtration technologies, particularly those involving polymer nanocomposite membranes, have gained significant attention in recent years. These membranes have shown exceptional promise in a wide range of applications, from desalination and wastewater treatment to oil removal and heavy metal filtration.
This book provides a comprehensive exploration of the latest advancements and future opportunities in this critical area of research. Polymer nanocomposite membranes, which combine the structural advantages of polymers with the unique
properties of nanomaterials, have emerged as a highly effective solution for water treatment. The incorporation of nanoparticles into polymer matrices enhances the
performance of traditional membranes, improving their permeability, selectivity, and durability. These enhancements make them ideal candidates for various separation processes, such as reverse osmosis, desalination, and the removal of organic contaminants, heavy metals, and bacteria. In the opening chapters, we introduce the recent developments in polymer nanocomposite membranes, highlighting their versatility and effectiveness in water
treatment applications. The subsequent chapters delve into specific applications, including reverse osmosis, desalination, oil removal, dye and pesticide removal, and
the treatment of water contaminated with bacteria and heavy metals. These applications are explored with a focus on the mechanisms that govern their performance, as well as the latest research that continues to push the boundaries of
what is possible with these materials.
One of the significant advantages of polymer nanocomposite membranes is their ability to address complex and diverse water contamination issues simultaneously.
For example, membranes used for oil/water emulsion separation not only provide high filtration efficiency but also exhibit strong resistance to fouling and degradation,
which are common challenges in conventional filtration methods. Additionally, the unique photocatalytic properties of some polymer nanocomposite membranes enable them to break down organic contaminants in water, further expanding their potential in water purification technologies.
Throughout the book, we emphasized the importance of interdisciplinary collaboration in advancing the field of polymer nanocomposite membranes. The synthesis and application of these materials require expertise from diverse fields
Mitigating Language Learning Anxiety : The Mediating Roles of Autonomous Learning and Academic Resilience in Enhancing ESL Students’ Academic Performance
Get PDFThis study investigates how English Language Learning Anxiety (ELLA) affects students’ academic performance in English and examines the mediating roles of autonomous learning and academic resilience. Drawing on Foreign Language Anxiety Theory and Self-Determination Theory, a quantitative survey was conducted with 384 university students enrolled in English courses in Jinan, Shandong Province, China. Data were collected using validated instruments: the Foreign Language Classroom Anxiety Scale (FLCAS), Self-Directed Learning Readiness Scale (SDLRS), and the Connor-Davidson Resilience Scale (CD-RISC). Results from correlation and regression analyses revealed that ELLA negatively correlates with academic performance, while autonomous learning and resilience are positive predictors. Mediation analysis further showed that both autonomous learning and resilience significantly mediate the impact of ELLA on academic performance. These findings underscore the importance of promoting learner autonomy and psychological resilience in English language learning contexts. Implications for educators, curriculum designers, and policymakers are discussed
Microalgae : Recent micro to macro-applications in South East Asia
Get PDFMicroalgae are unicellular organisms found in aquatic environments, playing a key role in carbon fixation and oxygen production through photosynthesis. They produce valuable bioactive compounds such as proteins, lipids, and antioxidants. Their wide-ranging applications make them a promising sustainable resource. In biofuel production, microalgae serve as an eco-friendly alternative to fossil fuels while aiding in carbon sequestration. In nutraceutical industries, they offer essential nutrients like omega-3 fatty acids and amino acids. The pharmaceutical sectors utilize microalgae-based nanocarriers for efficient drug delivery. Environmentally, microalgae are effective in wastewater treatment and bioremediation due to their pollutant-absorbing abilities. In Southeast Asia, the biomass energy market is expected to grow at 7.6 % compound annual growth rate from 2025 to 2034 and recent studies highlight their growing role in addressing sustainability challenges. As research advances, microalgae continue to emerge as a powerful tool in promoting green technology and solving global environmental and energy issues
The Impact of Green Accounting Disclosure on Financial Performance of Public Listed Firms in Malaysia
Get PDFObjective: The primary objective of this study is to evaluate the impact of green accounting disclosure on the financial performance of publicly listed firms in Malaysia. Theoretical Framework: The theoretical framework of this study is based on Legitimacy Theory, which posits that firms engage in green accounting disclosures to align with societal expectations and enhance their legitimacy. Method: This study employs a panel data analysis method, utilizing both fixed effects and random effects models to assess the impact of green accounting disclosure (GAD) on the financial performance of publicly listed firms in Malaysia. The analysis covers data from 248firms across 13 sectors, spanning from 2019 to 2023, with key financial performance indicators including return on assets (ROA), return on equity (ROE), and return on sales (ROS), while controlling for firm size, stock performance, leverage, and board size. Results and Discussion: The results indicate that green accounting disclosure (GAD) has a significant negative relationship with return on assets (ROA), suggesting that while companies engage in green disclosures to enhance their legitimacy, it may incur costs that reduce short term profitability. However, GAD shows no significant impact on return on equity (ROE) and return on sales (ROS). The findings underscore that stock performance and leverage significantly influence the adoption of green disclosures, while firm size and board size were not significant factors. Research Implications: Policymakers and regulatory bodies should recognize that while green accounting disclosures improve corporate legitimacy, their direct impact on financial performance, particularly profitability, may be limited in the short term. Originality/Value: This study offers a unique perspective on the impact of sustainability reporting in a regulatory context, particularly within a developing market like Malaysia