Online-Journals.org (International Association of Online Engineering)
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Measuring the Effects of Mobile and Social Networking Technology on the Enhancement of English Language Skills: A Comparative Study
Get PDFThis study investigates the effectiveness of mobile learning and teaching technologies and social networking platforms in enhancing English language skills among students in senior secondary public schools in India. Given the rising interest in these educational tools, their impact on language skill development remains underexplored. Addressing this gap, the study employed an experimental design with 120 randomly selected participants divided into three groups. For 12 weeks, each group received English language instruction through different mediums: mobile learning technology (Google Classroom), a social media application (WeChat), and a traditional multimedia projection system. The findings indicate a significant improvement in the English language proficiency of students who used mobile learning technology, as opposed to those who engaged with social media tools or traditional methods. This highlights the potential of mobile learning technologies in effectively enhancing language learning outcomes in the educational context. Furthermore, the traditional multimedia methods employed were found to be less effective in fostering language proficiency when compared to the employment of Google Classroom and WeChat. Given the results of this study, it is proposed that future research endeavors investigate the potential impact of severe games on language learning outcomes. In addition, it is advised that future investigations focus on creating and integrating demanding games that aim to enhance students’ proficiency in the English language
Integration of Mobile and Web Applications to Prevent Crime
Get PDFCitizen insecurity and crime represent one of the greatest challenges, as they affect people’s peace of mind and perception of security. Crime prevention and emergency management face challenges due to the lack of effective mechanisms for collecting and managing information, which hinder decision-making and affect the effectiveness of measures to combat crime. Therefore, the implementation of mobile and web applications is intended to reduce the risk of crime by supporting daily data collection, strategy planning, crime monitoring, diagnosis of the current situation, and coordination and evaluation of the competencies of citizen security agents. The SCRUM framework was applied to address the development and implementation of the model, considering all phases and artifacts. The results demonstrate that the implementation of mobile and web applications significantly supports crime prevention and strengthens district citizen security
Integration of Mobile Interaction Technology in the Tourism Industry and Its Impact on Tourism Consumption Patterns
Get PDFThe introduction of mobile interaction technology has fundamentally transformed the delivery of tourism services, enabling travelers to access real-time information, engage in online interactions, and enjoy personalized services through smart devices. This innovative consumption model not only enhances tourist engagement and satisfaction but also drives innovation and transformation in the tourism industry. However, despite existing studies exploring the impact of technology on tourism, most research focuses primarily on the technology itself, lacking a systematic analysis of its deeper implications for reshaping consumption patterns, enhancing industry resilience, and addressing market uncertainties. Current studies are predominantly centered on applications related to big data and consumer behavior analysis, often overlooking how to measure the resilience of tourism consumption patterns through specific indicators and failing to investigate the long-term sustainability of consumption models transformed by interactive technologies. To address these research gaps, this study introduces a novel perspective by constructing a mobile interaction network model, defining resilience indicators for tourism consumption patterns, and systematically evaluating them using a comprehensive assessment approach. This study aims to provide a new theoretical framework for the digital transformation of the tourism industry and practical guidance for enhancing industry resilience and improving risk resistance capabilities
The Impact of Motion Graphics versus Text-Based Formats on Anxiety and Learning: A Case Study in Jordan
Get PDFThis study examines the impact of animated graphics versus text-based learning formats on students’ anxiety, engagement, comprehension, and academic performance in an object-oriented programming (OOP) course. Sixty university students were divided into two groups: one using animated graphics and the other text-based media. Results revealed that students in the group using animated graphics had significantly lower levels of anxiety and higher levels of engagement, confidence, and ease of comprehension than those in the group using text-based material. Positive correlations were observed between engagement and comprehension, as well as between confidence and performance, in the animated graphics group. These results highlight the potential of animated graphics to enhance learning experiences by reducing anxiety and improving academic performance in technical subjects such as OOP. The lessons learned from this study can guide educators in integrating multimedia tools to optimize student learning and promote student well-being
How Generative AI Influences Students’ Self-Regulated Learning and Critical Thinking Skills? A Systematic Review
Get PDFGenerative artificial intelligence (AI), particularly tools such as ChatGPT, is transforming education by enhancing self-regulated learning (SRL) and critical thinking skills, two essential competencies in the digital era. This study systematically analyzes the impact of generative AI on these skills using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework to identify, evaluate, and synthesize relevant studies. Document searches were conducted in Scopus, Web of Science, and ScienceDirect, focusing on publications from 2022 to 2024, when ChatGPT was first widely adopted. Of the 3,214 documents identified, 557 met the initial screening criteria, and 38 studies were selected for detailed analysis. The findings reveal that 71.4% of studies reported AI’s positive role in SRL, mainly through personalized learning, metacognitive support, and adaptive feedback. Likewise, 62.5% of studies reported its significant role in critical thinking, supporting the process of analysis, evaluation, and reflection. However, researchers cautioned against an overreliance on technology, which one said could take away some students’ ability to think for themselves. Such findings indicate that educational institutions need to change their ways and include generative AI in a model that focuses on areas that foster learner independence. This approach will assist teachers and decision-makers in harnessing the distinctive kitsch of AI technology by creating new learning spaces that are creative and future-oriented
Application and Prospects of Traditional Chinese Medicine in the Treatment of Alzheimer's Disease
Get PDFAlzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive memory decline and cognitive dysfunction, primarily affecting the elderly. Approximately 50 million people worldwide are currently affected, with projections suggesting an increase to 152 million by 2050, especially among individuals over 65, where the incidence rate can be as high as 30%. This phenomenon significantly reduces the quality of life for patients and imposes substantial psychological and economic burdens on families and society. Therefore, finding effective treatment options is crucial. In recent years, Traditional Chinese Medicine (TCM) has gradually shown its potential in the treatment of AD. TCM views AD as a form of “dementia” or “amnesia,” attributing its root causes to dysfunctions of organs such as the kidneys and spleen, as well as deficiencies in qi (vital energy) and blood. Through methods like regulating qi and blood and strengthening kidney function, TCM aims to improve symptoms via a holistic approach. Many herbal formulas, such as Tianma Guoteng Decoction and Angong Niuhuang Pill, have been widely studied, demonstrating promising neuroprotective effects. Furthermore, both domestic and international studies indicate that TCM has made positive strides in the clinical application of AD, particularly in multicenter clinical trials, showing improvements in cognitive abilities and delays in disease progression. Herbal components such as astragalus polysaccharides, ginsenosides, curcumin, and Ginkgo biloba extract (GBE) exhibit significant neuroprotective effects through mechanisms like antioxidation, anti-inflammation, and the clearance of beta-amyloid (Aβ) protein. However, standardization and clinical validation remain major challenges to its widespread application. Looking ahead, integrating modern medical research methods, such as molecular biology and genetics, will provide new perspectives for TCM in the treatment of AD, facilitating the extraction and application of its effective components, thereby improving patients’ quality of life. Overall, TCM has achieved significant success in the treatment of AD, but further in-depth research is needed to fully realize its potential
Enhancing University Education Quality through MOOCs: Effective Learning Strategy Combinations and Pedagogical Innovations
Get PDFThis study examines the impact of combining innovative teaching strategies, including massive open online courses (MOOCs), to enhance the quality of university education. It focuses on the interplay between active learning methods and student-centered pedagogy, exploring how the integration of MOOCs with interactive, student-driven instruction fosters increased engagement and improves learning efficacy. A mixed-methods approach was employed, combining quantitative measures of academic outcomes with qualitative assessments of student motivation, participation, and satisfaction. Results indicate that the strategic combination of MOOCs and active methodologies creates a more engaging and practical learning environment, promoting deeper learning and greater involvement. The study also highlights key challenges and opportunities in applying these approaches, offering valuable recommendations for educators. Findings suggest that such innovative practices can significantly improve educational quality, supporting higher levels of student performance and better preparing graduates for professional success. These insights hold important implications for higher education policies aimed at transforming teaching methods and enhancing institutional effectiveness
Dawwen: An Arabic Mental Health Mobile App Based on Natural Language Processing
Get PDFPeople are increasingly concerned about their mental health wellness. Scientific studies suggest that online counselling for anxiety and depression is just as effective as in-person treatment. Additionally, journaling interventions have shown promise for individuals dealing with mental and psychological issues. In recent years, a growing number of mobile applications have been developed to improve people’s mental wellness and emotional communication. However, many of these applications are not available in Arabic but are available only in English or the native languages of their users, while other applications have feature limitations. This study presents a prototype of an interactive mental health mobile application, called Dawwen, to assist Arab individuals in freely expressing their feelings through online journaling, receiving recommendations for practices and activities, and locating nearby therapy centers based on their geolocation. Dawwen is augmented with an easy-to-use interface, a natural language processing (NLP) technique for analyzing the user input, and integrated features. The system is implemented using Android Studio and various cloud-based tools, making it adaptable for the integration of more advanced artificial intelligence (AI) technologies in the future. The System Usability Scale (SUS) scored an average of 88.25%, indicating high user satisfaction with the app’s functionality and ease of use. The study highlights Dawwen’s effectiveness in improving mental health support for Arabic-speaking users, filling a critical gap in existing digital mental health resources
The Role of Mobile Education Technology in Promoting Personalized Learning in Higher Education
Get PDFWith the continuous development of information technology, mobile education technology has gradually gained widespread application in higher education, driving the realization of personalized learning. Personalized learning aims to provide customized learning content and methods based on students’ individual needs, interests, and learning progress, making it an important trend in modern education. However, the challenge of accurately recommending the most suitable learning resources to students through technological means remains a key research issue. In recent years, researchers have proposed various personalized learning recommendation systems, but most studies have not fully explored the complex correlations and nonlinear features in students’ learning behaviors, resulting in suboptimal recommendation accuracy and adaptability. Graph neural networks (GNNs), as an emerging deep learning method, have demonstrated superior performance in multiple fields due to its powerful capability to model node relationships. Personalized recommendation systems based on GNN can effectively capture interactions among learners and complex learning needs, offering more precise recommendations for learning resources. This paper aims to explore how lightweight GNN techniques can enhance the performance of personalized learning recommendation systems in higher education. Specifically, the paper is divided into two parts: first, it discusses the personalized learning recommendation problem based on lightweight GNNs, analyzing the limitations and challenges of existing research; second, it designs a personalized learning recommendation model based on lightweight GNNs and proposes corresponding optimization strategies. This study aims to provide a new solution for personalized learning in higher education, advancing the application and development of educational technology
Prediction of Emotions in Human Beings, Using Emotional Intelligence and Data Mining
Get PDFHuman beings go through several periods in life where it is crucial to learn how to adapt to their own needs—biological and physical. Added to these are social conditions, which may involve participation in society, education, care, and impact. This last aspect is a central topic that supports many other situations; hence, emotional intelligence (EI) is addressed. EI underpins the way individuals handle their emotions, helping them develop various skills, such as understanding and managing those emotions for effective interaction with others. Emotions will be examined by taking into account a dataset, and the classification and prediction will be based on the paradigm of artificial intelligence. Machine learning will be used, specifically convolutional neural networks (CNNs). This paper analyzes emotion prediction using two types of machine learning networks to identify emotions: CNNs and recurrent neural networks (RNNs), aiming to determine which of these two yields better predictive performance