Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
CT-Mobile: Enhancing Computational Thinking via Android Graphic Design App
Get PDFIn the rapidly evolving digital age, the need for computational thinking (CT) skills is answered with the introduction of CT-Mobile, an innovative Android-based graphic design application. The app integrates basic computational concepts with graphic design principles, providing a unique platform for users to improve problem-solving, algorithmic thinking, and logical reasoning skills. This study used a research and development (R&D) approach with the 4-D Model (define, design, develop, and disseminate) as a guide. The validity test with experts categorized CT-Mobile as “valid” with values of 0.85 and 0.88 from media experts and material experts. The practicality of this application was rated as “very practical” by teachers (89.67%) and students (86.34%). These findings confirm the significant benefits of CT-Mobile in graphic design learning, both for educators and students. The analysis showed a positive impact on users’ CT ability, reflected by improved problem-solving efficiency and a deeper understanding of algorithmic processes. This study provides valuable insights into the relationship between mobile application development, graphic design education, and the development of CT skills. CT-Mobile emerges as a promising tool to bridge technology, creativity, and cognitive skill development in the digital age
Modelling User Behavior Towards Smartphones and Wearable Technologies: A Bibliometric Study and Brief Literature Review
Get PDFThe study employs bibliometric and content analysis to assess the current status of applying technology adoption models (such as the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Innovation Diffusion Theory (IDT)) to the smartphone market, which also encompasses smart wearables. Hereby, the author aims to explore the relationship between smartphone usage and adoption models and contribute to the literature through current trends and methodologies. To achieve the goal, the author applied a two-stage approach. In the first stage, 213 articles were analyzed using citation and bibliographic coupling tools in VOS viewer (version 1.6.20). The papers were selected from the Scopus database, and the search was conducted in the fields of economics, business, and computer technologies. In the second stage, the author conducted a brief literature review of the most influential papers. The results illustrate the situation regarding the implementation of various models in the case of smartphone adoption. Content analyses of the most influential papers were conducted to elucidate and enhance the findings of bibliometric analyses, identify research gaps, and guide future research development
Leveraging Problem-Based Learning via Virtual Environments to Enhance Business Students’ English and Motivation
Get PDFThis study investigates leveraging a problem-based learning (PBL) approach via virtual environments (VEs) to enhance English reading and writing skills and motivation among business students. The random sample consisted of 60 students in the Customer Service Section of the Applied College. The students were divided into two groups: the experimental group, which was exposed to the PBL approach via the Blackboard system, and the control group, which received traditional instruction. The authors used a quasi-experimental design, a pre-post-test, and a motivation scale. A T-test was used to compare the two groups at the post-test. The findings revealed substantial differences between the experimental and control groups in English for business students (reading comprehension and writing). Additionally, there was a momentous variance between the two groups on the motivational scale. The study proved that using the PBL approach with the VEs positively influenced students’ English for business and motivation. The study has some recommendations for future research, including evaluating virtual learning platforms, conducting longitudinal studies, and incorporating qualitative measures to enhance English language learning opportunities
Influence of Learning Activities Based on the Constructionism Approach in Digital Learning Ecosystem on Self-directed Learning Skills
Get PDFDue to the advancement of digital technology in the 21st century, self-directed learning (SDL) skills have become crucial for learning in the digital era, which is characterized by rapid change. Most previous studies have focused on enhancing SDL skills through various instructional methods. Today, technology plays a crucial role in learning. In the current context, exploring the outcomes of incorporating digital technology in teaching methods to enhance SDL skills is an intriguing subject. This study investigated the impact of SDL skills and learning achievement promotion by employing learning activities based on the constructionism approach in a digital learning ecosystem (DLE). The study used a quasi-experimental research approach with a non-equivalent pre-test and post-test control group design. The participants were eleventh-grade students. The results showed that both the SDL skills and learning achievement of the experimental group increased more compared to those of the control group. Based on the findings of this study, it can be concluded that learning-by-marking within an environment where numerous digital technologies serve as learning tools has a positive impact on SDL skills and learning achievement
Factors That Influence Teachers’ Willingness to Adopt Mobile Technologies: Challenges and Opportunities
Get PDFIn today’s digital age, the integration of digital technologies into the educational process has become a priority. The objective of this study is to analyze the conditions under which technology can support teachers in the design, implementation, and evaluation of teachinglearning (E/A) processes. This study specifically sought to answer the research question: “Can a self-evaluation tool help teachers’ guide and design mobile learning activities?” by emphasizing the criterion of effectiveness. Through a qualitative analysis within the framework of the educational design research (EDR) methodology, a series of focus groups were carried out and classified by teachers’ levels of experience, from beginners to experts. These groups provided detailed insights on the perception and use of mobile devices in education, specifically on the use of a self-assessment tool that supports teachers in designing activities with mobile devices. The results indicated a generally positive perception of mobile technologies in education, although variations in adoption and perception were observed depending on the teacher’s level of experience. The mobile self-assessment tool was also commended. The findings support literature on mobile learning and teacher support tools, emphasizing the importance of teaching training and the transformative potential of mobile devices in modern pedagogy
The Relationship between Teachers’ Motivation, Professional Development, and Mobile Technology Integration in Language Learning
Get PDFThis study investigates the significance of professional development and teacher motivation in the effective utilization of mobile technology in language instruction. It explores how these variables have a significant impact on the adoption and utilization of technological tools in language teaching. The study investigates the relationship between teachers’ motivation and the importance of comprehensive professional development programs that encompass pedagogical approaches and proficiency in mobile technology. The study followed a mixed-method research design with a sample of (n = 200) teachers and students. The results underscore the importance of a synergistic connection between professional development, technological integration, and teacher motivation to enhance language learning in digital learning environments. The study recommends that through targeted professional development and motivational tactics, curriculum designers and educators can optimize language instruction
Analyzing Data Transmission Reliability in Mobile Ad-Hoc Networks under Dynamic Scenarios
Get PDFMobile ad hoc networks (MANETs) face inherent challenges in maintaining reliable data transmission because of their dynamic and unpredictable nature. This research conducts a comprehensive reliability analysis of data transmission in MANETs, emphasizing the influence of dynamic conditions such as node mobility, changing network topologies, and fluctuating channel conditions. Through the utilization of mathematical models and simulations, the study assesses the overall reliability of data transmission, considering scenarios with diverse node densities, mobility patterns, and network sizes. Existing routing protocols, error correction mechanisms, and adaptive transmission strategies are examined for their effectiveness in reducing the impact of dynamic conditions on reliability. The research not only examines the current state of protocols but also explores potential enhancements and introduces novel approaches to enhance data transmission reliability under dynamic conditions. The findings offer a nuanced understanding of the challenges and opportunities related to reliable communication in MANETs. This research provides crucial insights for designing resilient communication systems in dynamic and mobile network scenarios, offering valuable guidance to researchers, network designers, and practitioners involved in optimizing the performance of MANETs in real-world applications
Wearable Processors Architecture: A Comprehensive Analysis of 64-bit ARM Processors
Get PDFWearable devices are playing an important role in our daily lives. Nowadays, wearable devices have transformative implications for health, technology, connectivity, humancomputer interaction, and data analytics. Their importance lies in their ability to enhance various aspects of life and contribute to the ongoing evolution of digital landscapes. At the heart of smartwatch design, the processor takes center stage, driving the majority of advancements in smartwatch technology. This paper presents an experimental comparative study of ARM 64-bit processors, analyzing their performance and impact on power consumption, CPU usage, and battery temperature. We evaluate the characteristics of four smartwatch processors: Snapdragon W5+, Snapdragon Wear4100, Exynos W920, and Exynos W930. All of those smartwatches are equipped with ARM 64-bit processors. Our results indicate that none of the four selected smartwatches excelled in all aspects; each exhibits superiority over the others in specific features while being surpassed by others in different attributes
Improvement of Student Interaction Analysis in Online Education Platforms Through Interactive Mobile Technology and Machine Learning Integration
Get PDFThe emergence of online education platforms, driven by interactive mobile technology, has significantly reshaped traditional educational paradigms and underscored the critical need for advanced analysis and improvement of student interactions. Effective analysis of student interaction is crucial for enhancing teaching quality and optimizing the learning experience in these digitally enriched environments. Traditional analysis frameworks often face challenges such as inaccuracies in anomaly detection and inefficiencies in data handling, particularly when handling extensive datasets typical of online platforms. This study introduces a novel approach to enhancing student interaction analysis systems by leveraging the synergy between machine learning and advanced interactive mobile technologies. Initially, the study proposes an advanced anomaly detection method tailored for identifying irregular student interactions. This method utilizes a blend of machine learning algorithms and the real-time data processing capabilities of mobile technology. Furthermore, to address the complexities of data transmission in mobile-based online education ecosystems, a state-ofthe- art congestion control algorithm has been developed. This algorithm optimizes data flow, significantly enhancing transmission stability and efficiency. The integration of interactive mobile technology with machine learning offers a robust and dynamic framework for analyzing student interactions, thereby facilitating a more engaging and effective online educational experience. This research contributes to the advancement of online education quality and efficiency by emphasizing the role of interactive mobile technology in shaping future learning environments
Deep Learning-Driven Optimization Strategies for Teaching Decisions in Smart Classrooms
Get PDFWith the rapid advancement of information technology, smart classrooms have increasingly become a vital component of modern education. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data, smart classrooms provide a smart, efficient educational setting for teachers and students. However, the challenge of fully utilizing these technologies to enhance teaching effectiveness in smart classrooms remains unresolved. Existing research has highlighted the significant potential of deep learning in optimizing teaching decisions. However, its application faces challenges, including insufficient integration of technologies and limited effectiveness in practical implementations. The main focus of this study encompasses three parts: firstly, a biological neural network model targeted at optimizing teaching decisions, which emulates the mechanisms of biological neural networks to efficiently optimize teaching decisions; secondly, an active consciousness teaching decision model within smart classroom settings, which merges deep learning with theories of active consciousness to support dynamic, intelligent teaching decisions; and thirdly, a biologically inspired teaching process coordination network in smart classrooms, designed to optimize and coordinate educational processes based on biological principles. Through these investigations, this study provides both theoretical and practical support for optimizing teaching decisions in smart classrooms, offering significant academic value and practical application prospects